CVPR2022-Papers-with-Code-Demo

☪️CVPR2021论文下载：https://pan.baidu.com/share/init?surl=gjfUQlPf73MCk4vM8VbzoA

密码：aicv

欢迎关注公众号：AI算法与图像处理

🌟 CVPR 2022 持续更新最新论文/paper和相应的开源代码/code！

🚗 CVPR 2022 收录列表ID：https://drive.google.com/file/d/15JFhfPboKdUcIH9LdbCMUFmGq_JhaxhC/view

🚗 官网链接：http://cvpr2022.thecvf.com/

B站demo：https://space.bilibili.com/288489574

✋ ​注：欢迎各位大佬提交issue，分享CVPR 2022论文/paper和开源项目！共同完善这个项目

往年顶会论文汇总：

CVPR2021

ICCV2021

🎆 欢迎进群 | Welcome

CVPR 2022 论文/paper交流群已成立！已经收录的同学，可以添加微信：nvshenj125，请备注：CVPR+姓名+学校/公司名称！一定要根据格式申请，可以拉你进群。

🔨 目录 |Table of Contents（点击直接跳转）

目录（右侧点击可折叠）

• Backbone
• 数据集/Dataset
• NAS
• Knowledge Distillation
• 多模态 / Multimodal
• 对比学习/Contrastive Learning
• 图神经网络 / Graph Neural Networks
• 胶囊网络 / Capsule Network
• 图像分类 / Image Classification
• 目标检测/Object Detection
• 目标跟踪/Object Tracking
• 轨迹预测/Trajectory Prediction
• 语义分割/Segmentation
• 弱监督语义分割/Weakly Supervised Semantic Segmentation
• 医学图像分割
• 视频目标分割/Video Object Segmentation
• 交互式视频目标分割/Interactive Video Object Segmentation
• Visual Transformer
• 深度估计/Depth Estimation
• 人脸识别/Face Recognition
• 人脸检测/Face Detection
• 人脸活体检测/Face Anti-Spoofing
• 人脸年龄估计/Age Estimation
• 人脸表情识别/Facial Expression Recognition
• 人脸属性识别/Facial Attribute Recognition
• 人脸编辑/Facial Editing
• 换脸/Face Swap
• 人体姿态估计/Human Pose Estimation
• 6D位姿估计 /6D Pose Estimation
• 手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)
• 视频动作检测/Video Action Detection
• 手语翻译/Sign Language Translation
• 3D人体重建
• 行人重识别/Person Re-identification
• 行人搜索/Person Search
• 人群计数 / Crowd Counting
• GAN
• 彩妆迁移 / Color-Pattern Makeup Transfer
• 字体生成 / Font Generation
• 场景文本检测、识别/Scene Text Detection/Recognition
• 图像、视频检索 / Image Retrieval/Video retrieval
• Image Animation
• 抠图/Image Matting
• 超分辨率/Super Resolution
• 图像复原/Image Restoration
• 图像补全/Image Inpainting
• 图像去噪/Image Denoising
• 图像编辑/Image Editing
• 图像拼接/Image stitching
• 图像匹配/Image Matching
• 图像融合/Image Blending
• 图像去雾/Image Dehazing
• 图像压缩/Image Compression
• 反光去除/Reflection Removal
• 车道线检测/Lane Detection
• 自动驾驶 / Autonomous Driving
• 流体重建/Fluid Reconstruction
• 场景重建 / Scene Reconstruction
• 视频插帧/Frame Interpolation
• 视频超分 / Video Super-Resolution
• 3D点云/3D point cloud
• 标签噪声 / Label-Noise
• 对抗样本/Adversarial Examples

Backbone

返回目录/back

数据集/Dataset

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos

• 论文/Paper: http://arxiv.org/abs/2203.14456
• 代码/Code: None

Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities

• 论文/Paper: http://arxiv.org/abs/2203.14712
• 代码/Code: None

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

• 论文/Paper: http://arxiv.org/abs/2203.12560
• 代码/Code: https://mediatum.ub.tum.de/1650201

Dataset Distillation by Matching Training Trajectories

• 论文/Paper: http://arxiv.org/abs/2203.11932
• 代码/Code: https://github.com/GeorgeCazenavette/mtt-distillation

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

• 论文/Paper：https://arxiv.org/abs/2203.09463

• 代码/Code：

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains

• 论文/Paper：https://arxiv.org/abs/2203.05306
• 代码/Code：https://github.com/hellodfan/GrainSpace

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

论文/Paper: http://arxiv.org/pdf/2204.01026

代码/Code: https://github.com/4dvlab/stcrowd

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

• 论文/Paper: http://arxiv.org/pdf/2204.02389
• 代码/Code: None

BEHAVE: Dataset and Method for Tracking Human Object Interactions

• 论文/Paper: http://arxiv.org/pdf/2204.06950
• 代码/Code: None

SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

• 论文/Paper: http://arxiv.org/pdf/2204.06918
• 代码/Code: None

返回目录/back

NAS

Optimizing Elimination Templates by Greedy Parameter Search

• 论文/Paper: http://arxiv.org/abs/2203.14901
• 代码/Code: None

Searching for Network Width with Bilaterally Coupled Network

• 论文/Paper: http://arxiv.org/pdf/2203.13714
• 代码/Code: None

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search

• 论文/Paper: http://arxiv.org/pdf/2204.05941
• 代码/Code: None

返回目录/back

Knowledge Distillation

Decoupled Knowledge Distillation

• 论文/Paper：https://arxiv.org/abs/2203.08679
• 代码/Code：https://github.com/megvii-research/mdistiller

Knowledge Distillation with the Reused Teacher Classifier

• 论文/Paper: http://arxiv.org/abs/2203.14001
• 代码/Code: None

返回目录/back

多模态 / Multimodal

Balanced Multimodal Learning via On-the-fly Gradient Modulation

• 论文/Paper: http://arxiv.org/pdf/2203.15332
• 代码/Code: None

Conditional Prompt Learning for Vision-Language Models

• 论文/Paper：https://arxiv.org/abs/2203.05557
• 代码/Code：https://github.com/KaiyangZhou/CoOp

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

• 论文/Paper: http://arxiv.org/abs/2203.13161
• 代码/Code: None

Motron: Multimodal Probabilistic Human Motion Forecasting

• 论文/Paper：https://arxiv.org/abs/2203.04132
• 代码/Code：

StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2203.15799
• 代码/Code: https://github.com/zhihengli-UR/StyleT2I

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization

• 论文/Paper: http://arxiv.org/pdf/2203.15125
• 代码/Code: None

Towards Implicit Text-Guided 3D Shape Generation

• 论文/Paper: http://arxiv.org/abs/2203.14622
• 代码/Code: None

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

• 论文/Paper: http://arxiv.org/abs/2203.12745
• 代码/Code: None

Versatile Multi-Modal Pre-Training for Human-Centric Perception

• 论文/Paper: http://arxiv.org/pdf/2203.13815
• 代码/Code: None

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

• 论文/Paper: http://arxiv.org/pdf/2203.15086
• 代码/Code: https://github.com/layer6ai-labs/xpool

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

• 论文/Paper: http://arxiv.org/pdf/2203.16778
• 代码/Code: None

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

• 论文/Paper: http://arxiv.org/pdf/2204.01026

• 代码/Code: https://github.com/4dvlab/stcrowd

XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation

• 论文/Paper: http://arxiv.org/pdf/2204.05084
• 代码/Code: None

Robust Cross-Modal Representation Learning with Progressive Self-Distillation

• 论文/Paper: http://arxiv.org/pdf/2204.04588
• 代码/Code: None

Multimodal Transformer for Nursing Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.04564
• 代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

• 论文/Paper: http://arxiv.org/pdf/2204.05845
• 代码/Code: https://github.com/andreineculai/MPC.

Are Multimodal Transformers Robust to Missing Modality?

• 论文/Paper: http://arxiv.org/pdf/2204.05454
• 代码/Code: None

返回目录/back

Contrastive Learning

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.13505
• 代码/Code: None

ContrastMask: Contrastive Learning to Segment Every Thing

• 论文/Paper: http://arxiv.org/pdf/2203.09775
• 代码/Code: None

Fair Contrastive Learning for Facial Attribute Classification

• 论文/Paper: http://arxiv.org/pdf/2203.16209
• 代码/Code: https://github.com/sungho-coolg/fscl

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning

• 论文/Paper: http://arxiv.org/abs/2203.14957
• 代码/Code: None

Rethinking Minimal Sufficient Representation in Contrastive Learning

• 论文/Paper：https://arxiv.org/abs/2203.07004

• 代码/Code：https://github.com/Haoqing-Wang/InfoCL

Selective-Supervised Contrastive Learning with Noisy Labels

• 论文/Paper：https://arxiv.org/abs/2203.04181
• 代码/Code：https://github.com/ShikunLi/Sel-CL

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity

• 论文/Paper: http://arxiv.org/abs/2203.11509
• 代码/Code: None

Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization

• 论文/Paper: http://arxiv.org/pdf/2203.16800
• 代码/Code: https://github.com/MengyuanChen21/CVPR2022-FTCL

Unified Contrastive Learning in Image-Text-Label Space

• 论文/Paper: http://arxiv.org/pdf/2204.03610
• 代码/Code: https://github.com/microsoft/unicl

Probabilistic Representations for Video Contrastive Learning

• 论文/Paper: http://arxiv.org/abs/2204.03946
• 代码/Code: None

返回目录/back

图神经网络 / Graph Neural Networks

Lifelong Graph Learning

• 论文/paper：https://arxiv.org/abs/2009.00647
• 代码/code：https://github.com/wang-chen/LGL

Long-term Visual Map Sparsification with Heterogeneous GNN

• 论文/Paper: http://arxiv.org/pdf/2203.15182
• 代码/Code: None

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

• 论文/paper：https://arxiv.org/abs/2203.04746
• 代码/code：https://imatge-upc.github.io/skinningnet/

返回目录/back

胶囊网络 / Capsule Network

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

• 论文/Paper: http://arxiv.org/abs/2203.10699
• 代码/Code: None

返回目录/back

图像分类 / Image Classification

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

• 论文/Paper: http://arxiv.org/pdf/2203.13465
• 代码/Code: None

Integrative Few-Shot Learning for Classification and Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.15712
• 代码/Code: None

Matching Feature Sets for Few-Shot Image Classification

• 论文/Paper: http://arxiv.org/pdf/2204.00949
• 代码/Code: None

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

• 论文/Paper: http://arxiv.org/pdf/2204.04567
• 代码/Code: None

Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications

• 论文/Paper: http://arxiv.org/pdf/2204.05605
• 代码/Code: None

返回目录/back

目标检测/Object Detection

A Dual Weighting Label Assignment Scheme for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.09730
• 代码/Code: https://github.com/strongwolf/dw

Implicit Motion Handling for Video Camouflaged Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.07363

• 代码/Code：

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.05787
• 代码/Code：

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.08195

• 代码/Code：https://github.com/tensorflow/lingvo/tree/master/lingvo/

Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer

• 论文/paper：https://arxiv.org/abs/2112.01838 | 主页
• 代码/code：https://github.com/fredzzhang/upt

Expanding Low-Density Latent Regions for Open-Set Object Detection

• 论文/Paper: http://arxiv.org/abs/2203.14911
• 代码/Code: None

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

• 论文/Paper: http://arxiv.org/abs/2203.12247
• 代码/Code: None

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

• 论文/paper：https://arxiv.org/abs/2011.12001
• 代码/code：https://github.com/qq456cvb/CanonicalVoting

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

• 论文/Paper：https://arxiv.org/abs/2203.05238
• 代码/Code：https://github.com/xuxw98/BackToReality

LiDAR Snowfall Simulation for Robust 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.15118
• 代码/Code: None

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

• 论文/Paper: http://arxiv.org/abs/2203.14940
• 代码/Code: None

Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability

• 论文/Paper：https://arxiv.org/abs/2203.05180
• 代码/Code：https://github.com/CVMI-Lab/KDEP

Optimal Correction Cost for Object Detection Evaluation

• 论文/Paper: http://arxiv.org/abs/2203.14438
• 代码/Code: None

Point2Seq: Detecting 3D Objects as Sequences

• 论文/Paper: http://arxiv.org/pdf/2203.13394
• 代码/Code: None

Point Density-Aware Voxels for LiDAR 3D Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.05662
• 代码/Code：https://github.com/TRAILab/PDV

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.08563
• 代码/Code：

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

• 论文/Paper: http://arxiv.org/abs/2203.10981
• 代码/Code: None

MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.13310

Real-time Object Detection for Streaming Perception

• 论文/Paper: http://arxiv.org/abs/2203.12338
• 代码/Code: https://github.com/yancie-yjr/StreamYOLO

SIOD: Single Instance Annotated Per Category Per Image for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.15353
• 代码/Code: None

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.06398
• 代码/Code：https://github.com/CityU-AIM-Group/SIGMA

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

• 论文/Paper: http://arxiv.org/pdf/2203.09780
• 代码/Code: None

Task-specific Inconsistency Alignment for Domain Adaptive Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.15345
• 代码/Code: None

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

• 论文/Paper: http://arxiv.org/abs/2203.11496
• 代码/Code: https://github.com/XuyangBai/TransFusion

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

• 论文/Paper: http://arxiv.org/pdf/2203.09704
• 代码/Code: https://github.com/gorilla-lab-scut/vista

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

• 论文/Paper: http://arxiv.org/abs/2203.10314
• 代码/Code: None

Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

• 论文/Paper: http://arxiv.org/pdf/2203.13608
• 代码/Code: None

Understanding 3D Object Articulation in Internet Videos

• 论文/Paper: http://arxiv.org/pdf/2203.16531
• 代码/Code: None

AdaMixer: A Fast-Converging Query-Based Object Detector

• 论文/Paper: http://arxiv.org/pdf/2203.16507
• 代码/Code: https://github.com/mcg-nju/adamixer

Forecasting from LiDAR via Future Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.16297
• 代码/Code: None

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.16220
• 代码/Code: https://github.com/dlut-dimt/tardal

Learning of Global Objective for Network Flow in Multi-Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2203.16210
• 代码/Code: None

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

• 论文/Paper: http://arxiv.org/pdf/2203.16168
• 代码/Code: None

Omni-DETR: Omni-Supervised Object Detection with Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.16089
• 代码/Code: None

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

• 论文/Paper: http://arxiv.org/pdf/2203.15882
• 代码/Code: https://github.com/yurongyou/modest

Multi-Granularity Alignment Domain Adaptation for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2203.16897
• 代码/Code: None

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2204.00325

• 代码/Code: None

R(Det)^2: Randomized Decision Routing for Object Detection

• 论文/Paper: http://arxiv.org/pdf/2204.00794

• 代码/Code: None

Homography Loss for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2204.00754
• 代码/Code: https://github.com/gujiaqivadin/HomographyLoss

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

• 论文/Paper: http://arxiv.org/pdf/2204.02136
• 代码/Code: None

Towards Robust Adaptive Object Detection under Noisy Annotations

• 论文/Paper: http://arxiv.org/pdf/2204.02620
• 代码/Code: None

Towards Open-Set Object Detection and Discovery

• 论文/Paper: http://arxiv.org/pdf/2204.05604
• 代码/Code: None

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2204.05575
• 代码/Code: https://github.com/AIR-THU/DAIR-V2X.

HyperDet3D: Learning a Scene-conditioned 3D Object Detector

• 论文/Paper: http://arxiv.org/pdf/2204.05599
• 代码/Code: None

返回目录/back

目标跟踪/Object Tracking

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

• 论文/Paper：https://arxiv.org/abs/2111.14690
• 代码/Code：https://github.com/DanceTrack/DanceTrack

Global Tracking Transformers

• 论文/Paper: http://arxiv.org/abs/2203.13250
• 代码/Code: None

MixFormer: End-to-End Tracking with Iterative Mixed Attention

• 论文/Paper: http://arxiv.org/abs/2203.11082
• 代码/Code: None

Transforming Model Prediction for Tracking

• 论文/Paper: http://arxiv.org/abs/2203.11192
• 代码/Code: None

TCTrack: Temporal Contexts for Aerial Tracking

• 论文/Paper：https://arxiv.org/abs/2203.01885
• 代码/Code：https://github.com/vision4robotics/TCTrack

Unified Transformer Tracker for Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2203.15175
• 代码/Code: None

Learning of Global Objective for Network Flow in Multi-Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2203.16210
• 代码/Code: None

Global Tracking via Ensemble of Local Trackers

• 论文/Paper: http://arxiv.org/pdf/2203.16092
• 代码/Code: https://github.com/zikunzhou/gtelt

MeMOT: Multi-Object Tracking with Memory

• 论文/Paper: http://arxiv.org/pdf/2203.16761
• 代码/Code: None

Unsupervised Learning of Accurate Siamese Tracking

• 论文/Paper: http://arxiv.org/pdf/2204.01475
• 代码/Code: https://github.com/florinshum/ulast

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

• 论文/Paper: http://arxiv.org/abs/2204.04120
• 代码/Code: None

BEHAVE: Dataset and Method for Tracking Human Object Interactions

• 论文/Paper: http://arxiv.org/pdf/2204.06950
• 代码/Code: None

SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

• 论文/Paper: http://arxiv.org/pdf/2204.06918
• 代码/Code: None

3D Object Tracking

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects

• 视频/Demo：Youtube

• 论文/Paper：https://arxiv.org/abs/2203.05334

• 代码/Code：https://github.com/DLR-RM/3DObjectTracking

返回目录/back

轨迹预测/Trajectory Prediction

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

• 论文/Paper：https://arxiv.org/abs/2203.04781
• 代码/Code：

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2203.13471
• 代码/Code: None

Remember Intentions: Retrospective-Memory-based Trajectory Prediction

• 论文/Paper: http://arxiv.org/abs/2203.11474
• 代码/Code: None

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

• 论文/Paper: http://arxiv.org/pdf/2203.13777
• 代码/Code: None

返回目录/back

语义分割/Segmentation

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.09744
• 代码/Code: https://github.com/lslrh/cpsl

Deep Hierarchical Semantic Segmentation

• 论文/Paper: http://arxiv.org/abs/2203.14335
• 代码/Code: None

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.04074
• 代码/Code：https://github.com/zhang-tao-whu/e2ec

Hyperbolic Image Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.05898
• 代码/Code：

Mask Transfiner for High-Quality Instance Segmentation

• 论文/Paper： https://arxiv.org/abs/2111.13673
• 代码/Code：https://github.com/SysCV/transfiner

Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?

• 论文/Paper: http://arxiv.org/pdf/2203.13427
• 代码/Code: None

Rethinking Semantic Segmentation: A Prototype View

• 论文/Paper: http://arxiv.org/pdf/2203.15102
• 代码/Code: None

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.09653
• 代码/Code: https://github.com/maeve07/rca

Representation Compensation Networks for Continual Semantic Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.05402
• 代码/Code：https://github.com/zhangchbin/RCIL

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.15202
• 代码/Code: None

Semantic Segmentation by Early Region Proxy

• 论文/Paper: http://arxiv.org/abs/2203.14043
• 代码/Code: None

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

• 论文/Paper：https://arxiv.org/abs/2203.03884
• 代码/Code：

SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation

• 论文/Paper: http://arxiv.org/pdf/2203.13312
• 代码/Code: None

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

• 论文/paper：https://arxiv.org/abs/2106.05095
• 代码/code：https://github.com/LiheYoung/ST-PlusPlus

Scribble-Supervised LiDAR Semantic Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.08537
• 代码/Code：https://github.com/ouenal/scribblekitti

Sparse Instance Activation for Real-Time Instance Segmentation

• 论文/Paper: http://arxiv.org/abs/2203.12827
• 代码/Code: None

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

• 论文/Paper: http://arxiv.org/abs/2203.10739
• 代码/Code: None

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

• 论文/Paper: https://arxiv.org/pdf/2111.12940.pdf
• 代码/Code:https://github.com/BIT-DA/RIPU

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

• 论文/Paper：https://arxiv.org/abs/2203.03860
• 代码/Code：None

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.16768
• 代码/Code: None

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.01587

• 代码/Code: None

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

• 论文/Paper: http://arxiv.org/pdf/2204.01446

• 代码/Code: https://github.com/suhyeonlee/wildnet

Semantic-Aware Domain Generalized Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.00822
• 代码/Code: https://github.com/leolyj/san-saw

FocalClick: Towards Practical Interactive Image Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.02574
• 代码/Code: https://github.com/XavierCHEN34/ClickSEG

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.02547
• 代码/Code: None

Pin the Memory: Learning to Generalize Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.03609
• 代码/Code: None

Coarse-to-Fine Feature Mining for Video Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.03330
• 代码/Code: https://github.com/guoleisun/vss-cffm

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.03206
• 代码/Code: https://github.com/PengtaoJiang/L2G

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.04656
• 代码/Code: https://github.com/lxtGH/Video-K-Net

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

• 论文/Paper: http://arxiv.org/pdf/2204.05538
• 代码/Code: None

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.05525
• 代码/Code: https://github.com/hustvl/TopFormer

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.05370
• 代码/Code: None

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

• 论文/Paper: http://arxiv.org/pdf/2204.06107
• 代码/Code: None

Joint Forecasting of Panoptic Segmentations with Difference Attention (Oral)

• 论文/Paper: http://arxiv.org/pdf/2204.07157
• 代码/Code: None

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.06986
• 代码/Code: https://github.com/winycg/cirkd

返回目录/back

弱监督语义分割/Weakly Supervised Semantic Segmentation

返回目录/back

医学图像分割/Medical Image Segmentation

返回目录/back

视频目标分割/Video Object Segmentation

Language as Queries for Referring Video Object Segmentation

• 论文/paper：https://arxiv.org/abs/2201.00487

• 代码/code：https://github.com/wjn922/ReferFormer

返回目录/back

交互式视频目标分割/Interactive Video Object Segmentation

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection

• 论文/Paper: http://arxiv.org/abs/2203.14709
• 代码/Code: None

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

• 论文/Paper: http://arxiv.org/pdf/2203.15709
• 代码/Code: None

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions

• 论文/Paper: http://arxiv.org/pdf/2204.00746

• 代码/Code: None

返回目录/back

Visual Transformer

Affine Medical Image Registration with Coarse-to-Fine Vision Transformer

• 论文/Paper: http://arxiv.org/pdf/2203.15216
• 代码/Code: https://github.com/cwmok/C2FViT

Automated Progressive Learning for Efficient Training of Vision Transformers

• 论文/Paper: http://arxiv.org/abs/2203.14509
• 代码/Code: None

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

• 论文/Paper：https://arxiv.org/abs/2203.09064
• 代码/Code：https://github.com/StomachCold/HCTransformers

Cascade Transformers for End-to-End Person Search

• 论文/Paper: http://arxiv.org/pdf/2203.09642
• 代码/Code: https://github.com/kitware/coat

EDTER: Edge Detection with Transformer

• 论文/Paper：https://arxiv.org/abs/2203.08566
• 代码/Code：

Few-Shot Object Detection with Fully Cross-Transformer

• 论文/Paper: http://arxiv.org/pdf/2203.15021
• 代码/Code: None

Global Tracking Transformers

• 论文/Paper: http://arxiv.org/abs/2203.13250
• 代码/Code: None

GradViT: Gradient Inversion of Vision Transformers

• 论文/Paper: http://arxiv.org/abs/2203.11894
• 代码/Code: https://gradvit.github.io/

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

• 论文/Paper: http://arxiv.org/abs/2203.10833
• 代码/Code: None

Meta-attention for ViT-backed Continual Learning

• 论文/Paper: http://arxiv.org/abs/2203.11684
• 代码/Code: None

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

• 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf

• 代码/Code: https://github.com/Vegetebird/MHFormer

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

• 论文/Paper：https://arxiv.org/abs/2202.11539 | 主页
• 代码/Code：https://github.com/YangtaoWANG95/TokenCut

Training-free Transformer Architecture Search

• 论文/Paper: http://arxiv.org/abs/2203.12217
• 代码/Code: None

Towards Practical Certifiable Patch Defense with Vision Transformer

• 论文/Paper：https://arxiv.org/abs/2203.08519

• 代码/Code：

Towards Robust Vision Transformer

• 论文/Paper: https://arxiv.org/abs/2105.07926
• 代码/Code: https://github.com/vtddggg/Robust-Vision-Transformer

Collaborative Transformers for Grounded Situation Recognition

• 论文/Paper: http://arxiv.org/pdf/2203.16518
• 代码/Code: https://github.com/jhcho99/coformer

TubeDETR: Spatio-Temporal Video Grounding with Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.16434
• 代码/Code: https://github.com/antoyang/TubeDETR

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer

• 论文/Paper: http://arxiv.org/pdf/2203.16248
• 代码/Code: None

Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation

• 论文/Paper: http://arxiv.org/pdf/2203.16202
• 代码/Code: None

Omni-DETR: Omni-Supervised Object Detection with Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.16089
• 代码/Code: None

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

• 论文/Paper: http://arxiv.org/pdf/2203.17266
• 代码/Code: https://github.com/BillyXYB/TransEditor

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.17247
• 代码/Code: None

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

• 论文/Paper: http://arxiv.org/pdf/2203.16896
• 代码/Code: None

Deformable Video Transformer

• 论文/Paper: http://arxiv.org/pdf/2203.16795
• 代码/Code: None

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

• 论文/Paper: http://arxiv.org/pdf/2203.16768
• 代码/Code: None

TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

• 论文/Paper: http://arxiv.org/pdf/2204.01018

• 代码/Code: https://github.com/sviprepetitioncounting/transrac

Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes

• 论文/Paper: http://arxiv.org/pdf/2204.00656
• 代码/Code: None

Multi-View Transformer for 3D Visual Grounding

• 论文/Paper: http://arxiv.org/pdf/2204.02174
• 代码/Code: None

Dual-AI: Dual-path Action Interaction Learning for Group Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.02148
• 代码/Code: None

Detector-Free Weakly Supervised Group Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.02139
• 代码/Code: None

Text Spotting Transformers

• 论文/Paper: http://arxiv.org/pdf/2204.01918
• 代码/Code: None

PSTR: End-to-End One-Step Person Search With Transformers

• 论文/Paper: http://arxiv.org/pdf/2204.03340
• 代码/Code: https://github.com/jialecao001/pstr

Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection

• 论文/Paper: http://arxiv.org/pdf/2204.04836
• 代码/Code: https://github.com/mlvlab/CPChoi.

Multimodal Transformer for Nursing Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.04564
• 代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC

Learning Trajectory-Aware Transformer for Video Super-Resolution

• 论文/Paper: http://arxiv.org/pdf/2204.04216
• 代码/Code: https://github.com/researchmm/TTVSR

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

• 论文/Paper: http://arxiv.org/pdf/2204.05525
• 代码/Code: https://github.com/hustvl/TopFormer

Are Multimodal Transformers Robust to Missing Modality?

• 论文/Paper: http://arxiv.org/pdf/2204.05454
• 代码/Code: None

MiniViT: Compressing Vision Transformers with Weight Multiplexing

• 论文/Paper: http://arxiv.org/pdf/2204.07154
• 代码/Code: https://github.com/microsoft/cream

ViTOL: Vision Transformer for Weakly Supervised Object Localization

• 论文/Paper: http://arxiv.org/pdf/2204.06772
• 代码/Code: https://github.com/Saurav-31/ViTOL

返回目录/back

深度估计/Depth Estimation

OACC-Net: Occlusion-Aware Cost Constructor for Light Field Depth Estimation

• 论文/Paper: https://arxiv.org/pdf/2203.01576.pdf
• 代码/Code: https://github.com/YingqianWang/OACC-Net

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior

• 论文/Paper: http://arxiv.org/pdf/2204.02091
• 代码/Code: None

HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model

• 论文/Paper: http://arxiv.org/pdf/2204.05007
• 代码/Code: None

返回目录/back

人脸识别/Face Recognition

Adaface: Quality Adaptive Margin for Face Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.00964

• 代码/Code: https://github.com/mk-minchul/adaface

返回目录/back

人脸检测/Face Detection

Privacy-preserving Online AutoML for Domain-Specific Face Detection

• 论文/Paper：https://arxiv.org/abs/2203.08399
• 代码/Code：None

Robust Neonatal Face Detection in Real-world Clinical Settings

• 论文/Paper: http://arxiv.org/pdf/2204.00655

• 代码/Code: None

返回目录/back

人脸活体检测/Face Anti-Spoofing

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

• 论文/Paper: https://arxiv.org/abs/2203.05340
• 代码/Code:

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition

• 论文/Paper: http://arxiv.org/abs/2203.14325
• 代码/Code: None

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

• 论文/Paper: http://arxiv.org/abs/2203.12208
• 代码/Code: https://github.com/liangchen527/sladd

返回目录/back

人脸年龄估计/Age Estimation

返回目录/back

人脸表情识别/Facial Expression Recognition

MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis

• 论文/Paper: http://arxiv.org/pdf/2203.13443
• 代码/Code: None

Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

• 论文/Paper: http://arxiv.org/abs/2203.12341
• 代码/Code: https://github.com/hangyu94/ada-cm

返回目录/back

人脸属性识别/Facial Attribute Recognition

Fair Contrastive Learning for Facial Attribute Classification

• 论文/Paper: http://arxiv.org/pdf/2203.16209
• 代码/Code: https://github.com/sungho-coolg/fscl

人脸编辑/Facial Editing

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

• 论文/Paper: http://arxiv.org/pdf/2203.17266
• 代码/Code: https://github.com/BillyXYB/TransEditor

Face Relighting with Geometrically Consistent Shadows

• 论文/Paper: http://arxiv.org/pdf/2203.16681
• 代码/Code: None

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

• 论文/Paper: http://arxiv.org/pdf/2203.16669
• 代码/Code: None

返回目录/back

换脸/Face Swap

High-resolution Face Swapping via Latent Semantics Disentanglement

• 论文/Paper: http://arxiv.org/pdf/2203.15958
• 代码/Code: None

返回目录/back

人体姿态估计/Human Pose Estimation

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

• 论文/Paper：https://arxiv.org/abs/2203.08534
• 代码/Code：https://mps-net.github.io/MPS-Net/

DiffPoseNet: Direct Differentiable Camera Pose Estimation

• 论文/Paper: http://arxiv.org/abs/2203.11174
• 代码/Code: None

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

• 论文/Paper: http://arxiv.org/abs/2203.13254
• 代码/Code: None

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting

• 论文/Paper：https://arxiv.org/abs/2203.07918
• 代码/Code：

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

• 论文/Paper：https://arxiv.org/abs/2203.00859
• 代码/Code：https://github.com/JinluZhang1126/MixSTE

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

• 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
• 代码/Code: https://github.com/Vegetebird/MHFormer

OSOP: A Multi-Stage One Shot Object Pose Estimation Framework

• 论文/Paper: http://arxiv.org/pdf/2203.15533
• 代码/Code: None

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2203.15227
• 代码/Code: None

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

• 论文/Paper: http://arxiv.org/pdf/2203.15625
• 代码/Code: None

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization

• 论文/Paper: http://arxiv.org/abs/2203.11471
• 代码/Code: https://github.com/YxZhxn/Ray3D

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2203.15293
• 代码/Code: None

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

• 论文/Paper: http://arxiv.org/pdf/2203.17234
• 代码/Code: None

Focal Length and Object Pose Estimation via Render and Compare

• 论文/Paper: http://arxiv.org/pdf/2204.05145
• 代码/Code: http://github.com/ponimatkin/focalpose

返回目录/back

6D位姿估计 /6D Pose Estimation

FS6D: Few-Shot 6D Pose Estimation of Novel Objects

• 论文/Paper: http://arxiv.org/abs/2203.14628
• 代码/Code: None

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

• 论文/Paper: http://arxiv.org/abs/2203.14531
• 代码/Code: None

ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation

• 论文/Paper：https://arxiv.org/abs/2203.09418
• 代码/Code：

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

• 论文/Paper: http://arxiv.org/abs/2203.12870
• 代码/Code: None

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

• 论文/Paper: http://arxiv.org/pdf/2204.01080

• 代码/Code: None

返回目录/back

手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery

返回目录/back

视频动作检测/Video Action Detection

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

• 论文/Paper: http://arxiv.org/abs/2203.10233
• 代码/Code: None

End-to-End Semi-Supervised Learning for Video Action Detection

• 论文/Paper：https://arxiv.org/abs/2203.04251
• 代码/Code：

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs

• 论文/Paper: http://arxiv.org/abs/2203.12344
• 代码/Code: https://github.com/hazeld/pseudoadverbs

Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos

• 论文/Paper: http://arxiv.org/abs/2203.11637
• 代码/Code: https://github.com/soCzech/LookForTheChange

RCL: Recurrent Continuous Localization for Temporal Action Detection

• 论文/Paper：https://arxiv.org/abs/2203.07112
• 代码/Code：

SPAct: Self-supervised Privacy Preservation for Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2203.15205
• 代码/Code: None

An Empirical Study of End-to-End Temporal Action Detection

• 论文/Paper: http://arxiv.org/pdf/2204.02932
• 代码/Code: https://github.com/xlliu7/E2E-TAD

SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2204.04796
• 代码/Code: None

返回目录/back

手语翻译/Sign Language Translation

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

• 论文/Paper：https://arxiv.org/abs/2203.04287
• 代码/Code：

返回目录/back

3D人体重建/Person Reconstruction

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

• 论文/Paper: http://arxiv.org/abs/2203.14510
• 代码/Code: None

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

• 论文/Paper：https://arxiv.org/abs/2203.09516
• 代码/Code：https://yccyenchicheng.github.io/AutoSDF/

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

• 论文/Paper: http://arxiv.org/abs/2203.12780
• 代码/Code: None

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

• 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf

• 代码/Code: https://github.com/Vegetebird/MHFormer

OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction

• 论文/Paper：https://arxiv.org/abs/2203.07977
• 代码/Code：https://wenbin-lin.github.io/OcclusionFusion

Structured Local Radiance Fields for Human Avatar Modeling

• 论文/Paper: http://arxiv.org/abs/2203.14478
• 代码/Code: None

返回目录/back

行人重识别/Person Re-identification

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

• 论文/Paper: http://arxiv.org/pdf/2203.15210
• 代码/Code: None

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

• 论文/Paper: http://arxiv.org/abs/2203.14675
• 代码/Code: None

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

• 论文/Paper: http://arxiv.org/pdf/2204.02611
• 代码/Code: https://github.com/Yanan-Wang-cs/ClonedPerson

Implicit Sample Extension for Unsupervised Person Re-Identification

• 论文/Paper: http://arxiv.org/pdf/2204.06892
• 代码/Code: https://github.com/PaddlePaddle/PaddleClas

Clothes-Changing Person Re-identification with RGB Modality Only

• 论文/Paper: http://arxiv.org/pdf/2204.06890
• 代码/Code: https://github.com/guxinqian/Simple-CCReID.

返回目录/back

行人搜索/Person Search

返回目录/back

人群计数 / Crowd Counting

返回目录/back

GAN

A Style-aware Discriminator for Controllable Image Translation

• 论文/Paper: http://arxiv.org/pdf/2203.15375
• 代码/Code: None

Attribute Group Editing for Reliable Few-shot Image Generation

• 论文/Paper：https://arxiv.org/abs/2203.08422
• 代码/Code：

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

• 论文/Paper: http://arxiv.org/abs/2203.13055
• 代码/Code: None

Compound Domain Generalization via Meta-Knowledge Encoding

• 论文/Paper: http://arxiv.org/abs/2203.13006
• 代码/Code: None

Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation

• 论文/Paper: http://arxiv.org/abs/2203.14668
• 代码/Code: None

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

• 论文/Paper：https://arxiv.org/abs/2203.07740
• 代码/Code：https://github.com/YBZh/EFDM

FlexIT: Towards Flexible Semantic Image Translation

• 论文/paper：https://arxiv.org/abs/2203.04705
• 代码/code：

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

• 论文/Paper：https://arxiv.org/abs/2203.07319

• 代码/Code：

GAN-Supervised Dense Visual Alignment

• 论文/paper：https://arxiv.org/abs/2112.05143
• 代码/code：https://github.com/wpeebles/gangealing

GIRAFFE HD: A High-Resolution 3D-aware Generative Model

• 论文/Paper: http://arxiv.org/abs/2203.14954
• 代码/Code: None

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

• 论文/paper：https://arxiv.org/abs/2111.15666 | 主页
• 代码/code：https://github.com/yuval-alaluf/hyperstyle

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

• 论文/Paper：https://arxiv.org/abs/2203.09457
• 代码/Code：https://xrenaa.github.io/look-outside-room/

Modulated Contrast for Versatile Image Synthesis

• 论文/Paper：https://arxiv.org/abs/2203.09333
• 代码/Code：https://github.com/fnzhan/MoNCE

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

• 论文/Paper: http://arxiv.org/abs/2203.12707
• 代码/Code: None

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

• 论文/Paper: http://arxiv.org/abs/2203.13248
• 代码/Code: None

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

• 论文/Paperhttps://arxiv.org/abs/2203.08483
• 代码/Code：

RGB-Depth Fusion GAN for Indoor Depth Completion

• 论文/Paper: http://arxiv.org/abs/2203.10856
• 代码/Code: None

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation

• 论文/Paper: http://arxiv.org/pdf/2203.09811
• 代码/Code: https://github.com/dongxingning/sha-gcl-for-sgg

Style Transformer for Image Inversion and Editing

• 论文/Paper：https://arxiv.org/abs/2203.07932
• 代码/Code：

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

• 论文/Paper: http://arxiv.org/abs/2203.10541
• 代码/Code: None

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

• 论文/Paper：https://arxiv.org/abs/2203.06321
• 代码/Code：

Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation

• 论文/Paper: http://arxiv.org/abs/2203.12835
• 代码/Code: None

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

• 论文/Paper: http://arxiv.org/pdf/2203.17266
• 代码/Code: https://github.com/BillyXYB/TransEditor

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

• 论文/Paper: http://arxiv.org/pdf/2203.17266
• 代码/Code: https://github.com/BillyXYB/TransEditor

Marginal Contrastive Correspondence for Guided Image Generation

• 论文/Paper: http://arxiv.org/pdf/2204.00442
• 代码/Code: None

Style-Based Global Appearance Flow for Virtual Try-On

• 论文/Paper: http://arxiv.org/pdf/2204.01046

• 代码/Code: https://github.com/senhe/flow-style-vton

Arbitrary-Scale Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2204.02273
• 代码/Code: https://github.com/vglsd/ScaleParty

Unsupervised Image-to-Image Translation with Generative Prior

• 论文/Paper: http://arxiv.org/pdf/2204.03641
• 代码/Code: https://github.com/williamyang1991/gp-unit

Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data

• 论文/Paper: http://arxiv.org/pdf/2204.04950
• 代码/Code: None

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space

• 论文/Paper: http://arxiv.org/abs/2204.05376
• 代码/Code: https://github.com/avdravid/medXGAN_explanations

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

• 论文/Paper: http://arxiv.org/pdf/2204.06307
• 代码/Code: None

返回目录/back

彩妆迁移 / Color-Pattern Makeup Transfer

返回目录/back

字体生成 / Font Generation

返回目录/back

OCR

Fourier Document Restoration for Robust Document Dewarping and Recognition

• 论文/Paper: http://arxiv.org/pdf/2203.09910
• 代码/Code: None

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

• 论文/Paper: http://arxiv.org/abs/2203.10492
• 代码/Code: None

文字图像处理（超分辨率增强、文字分割、文档版面分析）

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

• 论文/Paper：https://arxiv.org/abs/2203.09388
• 代码/Code：https://github.com/mjq11302010044/TATT

场景文本检测、识别/Scene Text Detection/Recognition

Kernel Proposal Network for Arbitrary Shape Text Detection

• 论文/Paper：https://arxiv.org/abs/2203.06410
• 代码/Code：https://github.com/GXYM/KPN

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition

• 论文/Paper: http://arxiv.org/abs/2203.10209
• 代码/Code: None

Towards End-to-End Unified Scene Text Detection and Layout Analysis

• 论文/Paper: http://arxiv.org/pdf/2203.15143
• 代码/Code: None

端到端文字识别

Open-set Text Recognition via Character-Context Decoupling

• 论文/Paper: http://arxiv.org/pdf/2204.05535
• 代码/Code: None

手写文字分析与识别

其它（文档图像预训练模型，Text VQA、数据集，Retrieval , 应用）

返回目录/back

图像、视频检索 / Image Retrieval/Video retrieval

Correlation Verification for Image Retrieval

• 论文/Paper: http://arxiv.org/pdf/2204.01458

• 代码/Code: https://github.com/sungonce/cvnet

Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

• 论文/Paper: http://arxiv.org/abs/2203.14817
• 代码/Code: None

Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image

• 论文/Paper: http://arxiv.org/pdf/2204.04752
• 代码/Code: None

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

• 论文/Paper: http://arxiv.org/pdf/2204.05845
• 代码/Code: https://github.com/andreineculai/MPC.

返回目录/back

Image Animation

Thin-Plate Spline Motion Model for Image Animation

• 论文/Paper: http://arxiv.org/abs/2203.14367
• 代码/Code: None

返回目录/back

抠图/Image Matting/Video Matting

返回目录/back

超分辨率/Super Resolution

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution

• 论文/Paper：https://arxiv.org/abs/2203.09195
• 代码/Code：https://github.com/csjliang/LDL

Learning Graph Regularisation for Guided Super-Resolution

• 论文/Paper: http://arxiv.org/abs/2203.14297
• 代码/Code: None

Reflash Dropout in Image Super-Resolution

• 论文/Paper：https://arxiv.org/pdf/2112.12089.pdf
• 代码/Code：https://github.com/Xiangtaokong/Reflash-Dropout-in-Image-Super-Resolution

Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling

• 论文/Paper: http://arxiv.org/pdf/2204.07114
• 代码/Code: None

返回目录/back

图像复原/Image Restoration

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

• 论文/Paper: http://arxiv.org/abs/2203.11754
• 代码/Code: None

Interacting Attention Graph for Single Image Two-Hand Reconstruction

• 论文/Paper：https://arxiv.org/abs/2203.09364

• 代码/Code：https://github.com/Dw1010/IntagHand

返回目录/back

图像补全/Image Inpainting

Bridging Global Context Interactions for High-Fidelity Image Completion

• 论文/Paper：https://arxiv.org/abs/2104.00845
• 代码/Code：https://github.com/lyndonzheng/TFill

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

• 论文/Paper: http://arxiv.org/pdf/2203.15270
• 代码/Code: None

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting

• 论文/Paper：https://arxiv.org/abs/2203.06304
• 代码/Code：https://github.com/tsingqguo/misf

Towards An End-to-End Framework for Flow-Guided Video Inpainting

• 论文/Paper: http://arxiv.org/pdf/2204.02663
• 代码/Code: https://github.com/MCG-NKU/E2FGVI

返回目录/back

图像去噪/Image Denoising

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

• 论文/Paper: http://arxiv.org/abs/2203.11799
• 代码/Code: None

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots

• 论文/Paper：https://arxiv.org/abs/2203.06967
• 代码/Code：https://github.com/demonsjin/Blind2Unblind

CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image

• 论文/Paper: http://arxiv.org/abs/2203.13009
• 代码/Code: None

Learning to Deblur using Light Field Generated and Real Defocus Images

• 论文/Paper: http://arxiv.org/pdf/2204.00367
• 代码/Code: https://github.com/lingyanruan/DRBNet

Dancing under the stars: video denoising in starlight

• 论文/Paper: http://arxiv.org/abs/2204.04210
• 代码/Code: None

返回目录/back

图像编辑/Image Editing

返回目录/back

图像拼接/Image stitching

Deep Rectangling for Image Stitching: A Learning Baseline

• 论文/Paper：https://arxiv.org/abs/2203.03831
• 代码/Code：https://github.com/nie-lang/DeepRectangling

返回目录/back

图像匹配/Image Matching

返回目录/back

图像融合/Image Blending

返回目录/back

图像去雾/Image Dehazing

返回目录/back

图像压缩/Image Compression

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

• 论文/Paper: http://arxiv.org/abs/2203.10886
• 代码/Code: None

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

• 论文/Paper: http://arxiv.org/abs/2203.10897
• 代码/Code: None

返回目录/back

反光去除/Reflection Removal

返回目录/back

车道线检测/Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection

• 论文/Paper: http://arxiv.org/abs/2203.10350
• 代码/Code: None

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

• 论文/Paper: http://arxiv.org/pdf/2203.15302
• 代码/Code: None

Rethinking Efficient Lane Detection via Curve Modeling

• 论文/Paper：https://arxiv.org/abs/2203.02431
• 代码/Code：https://github.com/voldemortX/pytorch-auto-drive

Towards Driving-Oriented Metric for Lane Detection Models

• 论文/Paper: http://arxiv.org/pdf/2203.16851
• 代码/Code: None

返回目录/back

自动驾驶 / Autonomous Driving

Learning from All Vehicles

• 论文/Paper: http://arxiv.org/abs/2203.11934
• 代码/Code: https://github.com/dotchen/LAV

返回目录/back

流体重建/Fluid Reconstruction

返回目录/back

场景重建 / Scene Reconstruction

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

• 论文/Paper: http://arxiv.org/pdf/2203.15190
• 代码/Code: None

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

• 论文/Paper: http://arxiv.org/abs/2203.11283
• 代码/Code: None

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

• 论文/Paper: http://arxiv.org/abs/2203.12082
• 代码/Code: None

返回目录/back

视频插帧/Frame Interpolation

Long-term Video Frame Interpolation via Feature Propagation

• 论文/Paper: http://arxiv.org/pdf/2203.15427
• 代码/Code: None

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation

• 论文/Paper: http://arxiv.org/abs/2203.13859
• 代码/Code: None

Unifying Motion Deblurring and Frame Interpolation with Events

• 论文/Paper: http://arxiv.org/abs/2203.12178
• 代码/Code: None

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

• 论文/Paper: http://arxiv.org/pdf/2203.17191
• 代码/Code: None

Many-to-many Splatting for Efficient Video Frame Interpolation

• 论文/Paper: http://arxiv.org/pdf/2204.03513
• 代码/Code: https://github.com/feinanshan/m2m_vfi

返回目录/back

视频超分 / Video Super-Resolution

Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

• 论文/Paper: http://arxiv.org/abs/2203.14537
• 代码/Code: None

返回目录/back

3D点云/3D point cloud

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

• 论文/Paper：https://arxiv.org/abs/2203.03888
• 代码/Code：

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception

• 论文/Paper: http://arxiv.org/abs/2203.13090
• 代码/Code: None

Contrastive Boundary Learning for Point Cloud Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.05272
• 代码/Code：https://github.com/LiyaoTang/contrastBoundary

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

• 论文/Paper: http://arxiv.org/abs/2203.14486
• 代码/Code: None

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment

• 论文/Paper: http://arxiv.org/abs/2203.11590
• 代码/Code: None

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

• 论文/Paper: http://arxiv.org/pdf/2203.15580
• 代码/Code: None

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

• 论文/Paper: http://arxiv.org/abs/2203.11139
• 代码/Code: None

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces

• 论文/Paper: http://arxiv.org/abs/2203.11113
• 代码/Code: None

REGTR: End-to-end Point Cloud Correspondences with Transformers

• 论文/Paper: http://arxiv.org/abs/2203.14517
• 代码/Code: None

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

• 论文/Paper: http://arxiv.org/abs/2203.14453
• 代码/Code: None

Stratified Transformer for 3D Point Cloud Segmentation

• 论文/Paper: http://arxiv.org/abs/2203.14508
• 代码/Code: None

Shape-invariant 3D Adversarial Point Clouds

• 论文/Paper：https://arxiv.org/abs/2203.04041
• 代码/Code：https://github.com/shikiw/SI-Adv

WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation

• 论文/Paper: http://arxiv.org/abs/2203.12917
• 代码/Code: None

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2203.16895
• 代码/Code: None

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2203.16895
• 代码/Code: None

Learning Local Displacements for Point Cloud Completion

• 论文/Paper: http://arxiv.org/pdf/2203.16600
• 代码/Code: None

3DeformRS: Certifying Spatial Deformations on Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2204.05687
• 代码/Code: None

返回目录/back

标签噪声 Label-Noise

返回目录/back

对抗样本 / Adversarial Examples

LAS-AT: Adversarial Training with Learnable Attack Strategy

• 论文/Paper：https://arxiv.org/pdf/2203.06616.pdf

• 代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT

返回目录/back

其他/Other

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

• 论文/Paper：https://arxiv.org/abs/2104.01539

• 代码/Code：https://github.com/tim-learn/DINE

It's About Time: Analog clock Reading in the Wild

• 论文/Paper：https://arxiv.org/abs/2111.09162
• 代码/Code：https://github.com/charigyang/itsabouttime

Neural Face Identification in a 2D Wireframe Projection of a Manifold Object

• 论文/Paper：https://arxiv.org/abs/2203.04229 | 主页
• 代码/Code：https://github.com/manycore-research/faceformer

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

• 论文/Paper：https://arxiv.org/abs/2203.04279
• 代码/Code：https://github.com/PruneTruong/DenseMatching

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

• 论文/Paper：https://arxiv.org/abs/2202.12513

• 代码/Code：https://github.com/DensoITLab/TeachAugment

UKPGAN: Unsupervised KeyPoint GANeration

• 论文/Paper：

• 代码/Code：https://github.com/qq456cvb/UKPGAN

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

• 论文/Paper：https://arxiv.org/abs/2203.03996
• 代码/Code：

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

• 论文/Paper：https://arxiv.org/abs/2203.03962
• 代码/Code：

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

• 论文/Paper：https://arxiv.org/abs/2203.03818
• 代码/Code：

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

• 论文/Paper：https://arxiv.org/abs/2203.03800
• 代码/Code：https://github.com/deeplearning-wisc/stud

On Generalizing Beyond Domains in Cross-Domain Continual Learning

• 论文/Paper：https://arxiv.org/abs/2203.03970
• 代码/Code：

Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers

• 论文/Paper：https://arxiv.org/abs/2203.03814
• 代码/Code：

What Matters For Meta-Learning Vision Regression Tasks?

• 论文/Paper：https://arxiv.org/abs/2203.04905
• 代码/Code：

ChiTransformer:Towards Reliable Stereo from Cues

• 论文/Paper：https://arxiv.org/abs/2203.04554

• 代码/Code：

Dynamic Dual-Output Diffusion Models

• 论文/Paper：https://arxiv.org/abs/2203.04304

• 代码/Code：

Spatial Commonsense Graph for Object Localisation in Partial Scenes

• 论文/Paper：https://arxiv.org/abs/2203.05380

• 代码/Code：https://fgiuliari.github.io/projects/SpatialCommonsenseGraph/

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

• 论文/Paper：https://arxiv.org/abs/2203.05154

• 代码/Code：https://github.com/liuye6666/adaptive_auto_attack

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

• 论文/Paper：https://arxiv.org/abs/2203.05151

• 代码/Code：

REX: Reasoning-aware and Grounded Explanation

• 论文/Paper：https://arxiv.org/abs/2203.06107
• 代码/Code：

FLAG: Flow-based 3D Avatar Generation from Sparse Observations

• 论文/Paper：https://arxiv.org/abs/2203.05789
• 代码/Code：

Learning Distinctive Margin toward Active Domain Adaptation

• 论文/Paper：https://arxiv.org/abs/2203.05738
• 代码/Code：https://github.com/TencentYoutuResearch/ActiveLearning-SDM

Active Learning by Feature Mixing

• 论文/Paper：https://arxiv.org/abs/2203.07034
• 代码/Code：

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

• 论文/Paper：https://arxiv.org/abs/2203.06965
• 代码/Code：

Forward Compatible Few-Shot Class-Incremental Learning

• 论文/Paper：https://arxiv.org/abs/2203.06953
• 代码/Code：https://github.com/zhoudw-zdw/CVPR22-Fact

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

• 论文/Paper：https://arxiv.org/abs/2203.06947
• 代码/Code：

Accelerating DETR Convergence via Semantic-Aligned Matching

• 论文/Paper：https://arxiv.org/abs/2203.06883
• 代码/Code：https://github.com/ZhangGongjie/SAM-DETR

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.06811
• 代码/Code：

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

• 论文/Paper：https://arxiv.org/abs/2203.06717
• 代码/Code：https://github.com/megvii-research/RepLKNet

LAS-AT: Adversarial Training with Learnable Attack Strategy

• 论文/Paper：https://arxiv.org/abs/2203.06616
• 代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

• 论文/Paper：https://arxiv.org/abs/2203.06605
• 代码/Code：https://github.com/harlanhong/CVPR2022-DaGAN

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.06558

• 代码/Code：

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning

• 论文/Paper：https://arxiv.org/abs/2203.06541
• 代码/Code：https://github.com/Jiahao-UTS/SLPT-master

Implicit Feature Decoupling with Depthwise Quantization

• 论文/Paper：https://arxiv.org/abs/2203.08080
• 代码/Code：

Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs

• 论文/Paper：https://arxiv.org/abs/2203.07808
• 代码/Code：

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.07615
• 代码/Code：https://github.com/chunbolang/BAM

Can Neural Nets Learn the Same Mode

l Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective

• 论文/Paper：https://arxiv.org/abs/2203.08124
• 代码/Code：https://github.com/somepago/dbViz

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels

• 论文/Paper：https://arxiv.org/abs/2203.07788
• 代码/Code：https://github.com/Yikai-Wang/SPR-LNL

Deep vanishing point detection: Geometric priors make dataset variations vanish

• 论文/Paper：https://arxiv.org/abs/2203.08586
• 代码/Code：https://github.com/yanconglin/VanishingPoint_HoughTransform_GaussianSphere

Non-isotropy Regularization for Proxy-based Deep Metric Learning

• 论文/Paper：https://arxiv.org/abs/2203.08563

• 代码/Code：https://github.com/ExplainableML/NonIsotropicProxyDML

Integrating Language Guidance into Vision-based Deep Metric Learning

• 论文/Paper：https://arxiv.org/abs/2203.08543
• 代码/Code：https://github.com/ExplainableML/LanguageGuidance_for_DML

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

• 论文/Paper：https://arxiv.org/abs/2203.08481
• 代码/Code：https://github.com/LeapLabTHU/Pseudo-Q

The Devil Is in the Details: Window-based Attention for Image Compression

• 论文/Paper：https://arxiv.org/abs/2203.08450
• 代码/Code：https://github.com/Googolxx/STF

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

• 论文/Paper：https://arxiv.org/abs/2203.08354
• 代码/Code：https://github.com/flyinglynx/Bilinear-Matching-Network

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

• 论文/Paper：https://arxiv.org/abs/2203.09446
• 代码/Code：

Bi-directional Object-context Prioritization Learning for Saliency Ranking

• 论文/Paper：https://arxiv.org/abs/2203.09416
• 代码/Code：https://github.com/GrassBro/OCOR

Object Localization under Single Coarse Point Supervision

• 论文/Paper：https://arxiv.org/abs/2203.09338
• 代码/Code：https://github.com/ucas-vg/PointTinyBenchmark/

Neural Compression-Based Feature Learning for Video Restoration

• 论文/Paper：https://arxiv.org/abs/2203.09208
• 代码/Code：

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

• 论文/Paper：https://arxiv.org/abs/2203.09138
• 代码/Code：https://github.com/AndersonStra/MuKEA

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

• 论文/Paper：https://arxiv.org/abs/2203.09123
• 代码/Code：https://github.com/dreamflake/ODI

DATA: Domain-Aware and Task-Aware Pre-training

• 论文/Paper：https://arxiv.org/abs/2203.09041
• 代码/Code：https://github.com/GAIA-vision/GAIA-ssl

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

• 论文/Paper：https://arxiv.org/abs/2203.09249

• 代码/Code：

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

• 论文/Paper：https://arxiv.org/abs/2203.09137
• 代码/Code：https://github.com/YiteWang/MetaNTK-NAS

Learning Affordance Grounding from Exocentric Images

• 论文/Paper: http://arxiv.org/pdf/2203.09905
• 代码/Code: https://github.com/lhc1224/cross-view-affordance-grounding

DTA: Physical Camouflage Attacks using Differentiable Transformation Network

• 论文/Paper: http://arxiv.org/pdf/2203.09831
• 代码/Code: None

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

• 论文/Paper: http://arxiv.org/pdf/2203.09824
• 代码/Code: None

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

• 论文/Paper: http://arxiv.org/abs/2203.10887
• 代码/Code: None

ViM: Out-Of-Distribution with Virtual-logit Matching

• 论文/Paper: http://arxiv.org/abs/2203.10807
• 代码/Code: None

Delving into the Estimation Shift of Batch Normalization in a Network

• 论文/Paper: http://arxiv.org/abs/2203.10778
• 代码/Code: None

Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light

• 论文/Paper: http://arxiv.org/abs/2203.10493
• 代码/Code: None

TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing

• 论文/Paper: http://arxiv.org/abs/2203.10489
• 代码/Code: None

Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data

• 论文/Paper: http://arxiv.org/abs/2203.10474
• 代码/Code: None

Discovering Objects that Can Move

• 论文/Paper: http://arxiv.org/abs/2203.10159
• 代码/Code: None

φ-SfT: Shape-from-Template with a Physics-Based Deformation Model

• 论文/Paper: http://arxiv.org/abs/2203.11938
• 代码/Code: None

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation

• 论文/Paper: http://arxiv.org/abs/2203.11483
• 代码/Code: None

Mixed Differential Privacy in Computer Vision

• 论文/Paper: http://arxiv.org/abs/2203.11481
• 代码/Code: None

Global Matching with Overlapping Attention for Optical Flow Estimation

• 论文/Paper: http://arxiv.org/abs/2203.11335
• 代码/Code: None

DR.VIC: Decomposition and Reasoning for Video Individual Counting

• 论文/Paper: http://arxiv.org/abs/2203.12335
• 代码/Code: https://github.com/taohan10200/drnet

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

• 论文/Paper: http://arxiv.org/abs/2203.12081
• 代码/Code:https://github.com/hrzhang1123/DTFD-MIL

Efficient Translation Variant Convolution for Layout-aware Visual Processing

• 论文/Paper：http://arxiv.org/abs/2203.10489
• 代码/Code：https://github.com/JierunChen/TVConv

Moving Window Regression: A Novel Approach to Ordinal Regression

• 论文/Paper: http://arxiv.org/abs/2203.13122
• 代码/Code: None

Egocentric Prediction of Action Target in 3D

• 论文/Paper: http://arxiv.org/abs/2203.13116
• 代码/Code: None

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

• 论文/Paper: http://arxiv.org/abs/2203.12997
• 代码/Code: None

Neural Reflectance for Shape Recovery with Shadow Handling

• 论文/Paper: http://arxiv.org/abs/2203.12909
• 代码/Code: None

DyRep: Bootstrapping Training with Dynamic Re-parameterization

• 论文/Paper: http://arxiv.org/abs/2203.12868
• 代码/Code: None

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

• 论文/Paper: http://arxiv.org/abs/2203.12768
• 代码/Code: None

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

• 论文/Paper: http://arxiv.org/pdf/2203.13639
• 代码/Code: None

Unsupervised Pre-training for Temporal Action Localization Tasks

• 论文/Paper: http://arxiv.org/pdf/2203.13609
• 代码/Code: None

Continual Test-Time Domain Adaptation

• 论文/Paper: http://arxiv.org/pdf/2203.13591
• 代码/Code: None

Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes

• 论文/Paper: http://arxiv.org/pdf/2203.13412
• 代码/Code: None

NPBG++: Accelerating Neural Point-Based Graphics

• 论文/Paper: http://arxiv.org/pdf/2203.13318
• 代码/Code: None

Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos

• 论文/Paper: http://arxiv.org/pdf/2203.13309
• 代码/Code: None

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

• 论文/Paper: http://arxiv.org/pdf/2203.13381
• 代码/Code: None

Energy-based Latent Aligner for Incremental Learning

• 论文/Paper: http://arxiv.org/abs/2203.14952
• 代码/Code: None

Controllable Dynamic Multi-Task Architectures

• 论文/Paper: http://arxiv.org/abs/2203.14949
• 代码/Code: None

Attributable Visual Similarity Learning

• 论文/Paper: http://arxiv.org/abs/2203.14932
• 代码/Code: None

Learning Where to Learn in Cross-View Self-Supervised Learning

• 论文/Paper: http://arxiv.org/abs/2203.14898
• 代码/Code: None

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

• 论文/Paper: http://arxiv.org/abs/2203.14843
• 代码/Code: None

Partially Does It: Towards Scene-Level FG-SBIR with Partial Input

• 论文/Paper: http://arxiv.org/abs/2203.14804
• 代码/Code: None

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models

• 论文/Paper: http://arxiv.org/abs/2203.14702
• 代码/Code: None

Sketch3T: Test-Time Training for Zero-Shot SBIR

• 论文/Paper: http://arxiv.org/abs/2203.14691
• 代码/Code: None

Brain-inspired Multilayer Perceptron with Spiking Neurons

• 论文/Paper: http://arxiv.org/abs/2203.14679
• 代码/Code: None

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

• 论文/Paper: http://arxiv.org/abs/2203.14506
• 代码/Code: None

NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge

• 论文/Paper: http://arxiv.org/abs/2203.14499
• 代码/Code: None

ARCS: Accurate Rotation and Correspondence Search

• 论文/Paper: http://arxiv.org/abs/2203.14493
• 代码/Code: None

iPLAN: Interactive and Procedural Layout Planning

• 论文/Paper: http://arxiv.org/abs/2203.14412
• 代码/Code: None

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

• 论文/Paper: http://arxiv.org/abs/2203.14333
• 代码/Code: None

Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation

• 论文/Paper: http://arxiv.org/abs/2203.14327
• 代码/Code: None

Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships

• 论文/Paper: http://arxiv.org/abs/2203.14260
• 代码/Code: None

Knowledge Mining with Scene Text for Fine-Grained Recognition

• 论文/Paper: http://arxiv.org/abs/2203.14215
• 代码/Code: None

Long-Tailed Recognition via Weight Balancing

• 论文/Paper: http://arxiv.org/abs/2203.14197
• 代码/Code: None

HINT: Hierarchical Neuron Concept Explainer

• 论文/Paper: http://arxiv.org/abs/2203.14196
• 代码/Code: None

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

• 论文/Paper: http://arxiv.org/abs/2203.14104
• 代码/Code: None

Learning to Answer Questions in Dynamic Audio-Visual Scenarios

• 论文/Paper: http://arxiv.org/abs/2203.14072
• 代码/Code: None

Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture

• 论文/Paper: http://arxiv.org/abs/2203.14065
• 代码/Code: None

Visual Abductive Reasoning

• 论文/Paper: http://arxiv.org/abs/2203.14040
• 代码/Code: None

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

• 论文/Paper: http://arxiv.org/abs/2203.13993
• 代码/Code: None

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

• 论文/Paper: http://arxiv.org/abs/2203.13954
• 代码/Code: None

Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection

• 论文/Paper: http://arxiv.org/abs/2203.13903
• 代码/Code: None

Causality Inspired Representation Learning for Domain Generalization

• 论文/Paper: http://arxiv.org/abs/2203.14237
• 代码/Code: None

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

• 论文/Paper: http://arxiv.org/abs/2203.13963
• 代码/Code: None

CHEX: CHannel EXploration for CNN Model Compression

• 论文/Paper: http://arxiv.org/pdf/2203.15794
• 代码/Code: None

FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering

• 论文/Paper: http://arxiv.org/pdf/2203.15765
• 代码/Code: None

EnvEdit: Environment Editing for Vision-and-Language Navigation

• 论文/Paper: http://arxiv.org/pdf/2203.15685
• 代码/Code: None

Exploring Frequency Adversarial Attacks for Face Forgery Detection

• 论文/Paper: http://arxiv.org/pdf/2203.15674
• 代码/Code: None

BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information

• 论文/Paper: http://arxiv.org/pdf/2203.15536
• 代码/Code: None

Learning Structured Gaussians to Approximate Deep Ensembles

• 论文/Paper: http://arxiv.org/pdf/2203.15485
• 代码/Code: None

Quantifying Societal Bias Amplification in Image Captioning

• 论文/Paper: http://arxiv.org/pdf/2203.15395
• 代码/Code: None

Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification

• 论文/Paper: http://arxiv.org/pdf/2203.15381
• 代码/Code: https://github.com/ShipuLoveMili/CVPR2022-AURL

Self-Supervised Image Representation Learning with Geometric Set Consistency

• 论文/Paper: http://arxiv.org/pdf/2203.15361
• 代码/Code: None

Nested Collaborative Learning for Long-Tailed Visual Recognition

• 论文/Paper: http://arxiv.org/pdf/2203.15359
• 代码/Code: None

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries

• 论文/Paper: http://arxiv.org/pdf/2203.15355
• 代码/Code: None

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

• 论文/Paper: http://arxiv.org/pdf/2203.15331
• 代码/Code: None

Dressing in the Wild by Watching Dance Videos

• 论文/Paper: http://arxiv.org/pdf/2203.15320
• 代码/Code: None

Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation

• 论文/Paper: http://arxiv.org/pdf/2203.15259
• 代码/Code: None

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian

• 论文/Paper: http://arxiv.org/pdf/2203.15235
• 代码/Code: None

Zero-Query Transfer Attacks on Context-Aware Object Detectors

• 论文/Paper: http://arxiv.org/pdf/2203.15230
• 代码/Code: None

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

• 论文/Paper: http://arxiv.org/pdf/2203.15187
• 代码/Code: None

Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images

• 论文/Paper: http://arxiv.org/pdf/2203.15007
• 代码/Code: None

Clean Implicit 3D Structure from Noisy 2D STEM Images

• 论文/Paper: http://arxiv.org/pdf/2203.15434
• 代码/Code: None

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

• 论文/Paper: http://arxiv.org/pdf/2203.15234
• 代码/Code: None

Large-Scale Pre-training for Person Re-identification with Noisy Labels

• 论文/Paper: http://arxiv.org/pdf/2203.16533
• 代码/Code: https://github.com/dengpanfu/luperson-nl

Understanding 3D Object Articulation in Internet Videos

• 论文/Paper: http://arxiv.org/pdf/2203.16531
• 代码/Code: None

CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism

• 论文/Paper: http://arxiv.org/pdf/2203.16529
• 代码/Code: None

Unseen Classes at a Later Time? No Problem

• 论文/Paper: http://arxiv.org/pdf/2203.16517
• 代码/Code: https://github.com/sumitramalagi/unseen-classes-at-a-later-time

Fast Light-Weight Near-Field Photometric Stereo

• 论文/Paper: http://arxiv.org/pdf/2203.16515
• 代码/Code: None

AdaMixer: A Fast-Converging Query-Based Object Detector

• 论文/Paper: http://arxiv.org/pdf/2203.16507
• 代码/Code: https://github.com/mcg-nju/adamixer

Fast, Accurate and Memory-Efficient Partial Permutation Synchronization

• 论文/Paper: http://arxiv.org/pdf/2203.16505
• 代码/Code: None

Balanced MSE for Imbalanced Visual Regression

• 论文/Paper: http://arxiv.org/pdf/2203.16427
• 代码/Code: None

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

• 论文/Paper: http://arxiv.org/pdf/2203.16319
• 代码/Code: None

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

• 论文/Paper: http://arxiv.org/pdf/2203.16258
• 代码/Code: https://github.com/valeoai/slidr

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

• 论文/Paper: http://arxiv.org/pdf/2203.16168
• 代码/Code: None

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction

• 论文/Paper: http://arxiv.org/pdf/2203.16084
• 代码/Code: None

Learning Program Representations for Food Images and Cooking Recipes

• 论文/Paper: http://arxiv.org/pdf/2203.16071
• 代码/Code: None

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

• 论文/Paper: http://arxiv.org/pdf/2203.16062
• 代码/Code: None

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

• 论文/Paper: http://arxiv.org/pdf/2203.16051
• 代码/Code: None

Iterative Deep Homography Estimation

• 论文/Paper: http://arxiv.org/pdf/2203.15982
• 代码/Code: https://github.com/imdumpl78/ihn

PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation

• 论文/Paper: http://arxiv.org/pdf/2203.15965
• 代码/Code: None

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images

• 论文/Paper: http://arxiv.org/pdf/2203.15926
• 代码/Code: None

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

• 论文/Paper: http://arxiv.org/pdf/2203.15882
• 代码/Code: https://github.com/yurongyou/modest

Proactive Image Manipulation Detection

• 论文/Paper: http://arxiv.org/pdf/2203.15880
• 代码/Code: https://github.com/vishal3477/proactive_imd

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

• 论文/Paper: http://arxiv.org/pdf/2203.15859
• 代码/Code: https://github.com/seekingdream/nicgslowdown

Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain

• 论文/Paper: http://arxiv.org/pdf/2203.16357
• 代码/Code: None

Bringing Old Films Back to Life

• 论文/Paper: http://arxiv.org/pdf/2203.17276
• 代码/Code: https://github.com/raywzy/Bringing-Old-Films-Back-to-Life

Generating High Fidelity Data from Low-density Regions using Diffusion Models

• 论文/Paper: http://arxiv.org/pdf/2203.17260
• 代码/Code: None

Continuous Scene Representations for Embodied AI

• 论文/Paper: http://arxiv.org/pdf/2203.17251
• 代码/Code: None

SimVQA: Exploring Simulated Environments for Visual Question Answering

• 论文/Paper: http://arxiv.org/pdf/2203.17219
• 代码/Code: None

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy

• 论文/Paper: http://arxiv.org/pdf/2203.17205
• 代码/Code: None

AEGNN: Asynchronous Event-based Graph Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2203.17149
• 代码/Code: None

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

• 论文/Paper: http://arxiv.org/pdf/2203.17008
• 代码/Code: None

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

• 论文/Paper: http://arxiv.org/pdf/2203.16931
• 代码/Code: None

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

• 论文/Paper: http://arxiv.org/pdf/2203.16910
• 代码/Code: None

Reflection and Rotation Symmetry Detection via Equivariant Learning

• 论文/Paper: http://arxiv.org/pdf/2203.16787
• 代码/Code: None

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

• 论文/Paper: http://arxiv.org/pdf/2203.16755
• 代码/Code: None

Personalized Image Aesthetics Assessment with Rich Attributes

• 论文/Paper: http://arxiv.org/pdf/2203.16754
• 代码/Code: None

Constrained Few-shot Class-incremental Learning

• 论文/Paper: http://arxiv.org/pdf/2203.16588
• 代码/Code: None

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

• 论文/Paper: http://arxiv.org/pdf/2203.16586
• 代码/Code: None

Exploiting Explainable Metrics for Augmented SGD

• 论文/Paper: http://arxiv.org/pdf/2203.16723
• 代码/Code: None

Task Adaptive Parameter Sharing for Multi-Task Learning

• 论文/Paper: http://arxiv.org/pdf/2203.16708
• 代码/Code: None

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

• 论文/Paper: http://arxiv.org/pdf/2112.03028
• 代码/Code: None

On the Importance of Asymmetry for Siamese Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2204.00613

• 代码/Code: https://github.com/facebookresearch/asym-siam

DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow

• 论文/Paper: http://arxiv.org/pdf/2204.00330

• 代码/Code: https://github.com/zihuazheng/dip

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

• 论文/Paper: http://arxiv.org/pdf/2204.00309

• 代码/Code: None

Perception Prioritized Training of Diffusion Models

• 论文/Paper: http://arxiv.org/pdf/2204.00227

• 代码/Code: https://github.com/jychoi118/p2-weighting

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

• 论文/Paper: http://arxiv.org/pdf/2204.00220

• 代码/Code: None

GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature

• 论文/Paper: http://arxiv.org/pdf/2204.00179

• 代码/Code: https://github.com/spadeliu/graft-psmnet

LASER: LAtent SpacE Rendering for 2D Visual Localization

论文/Paper: http://arxiv.org/pdf/2204.00157

代码/Code: None

TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization

• 论文/Paper: http://arxiv.org/pdf/2204.00097

• 代码/Code: https://github.com/jeff-zilence/transgeo2022

Investigating Top-$k$ White-Box and Transferable Black-box Attack

• 论文/Paper: http://arxiv.org/pdf/2204.00089

• 代码/Code: None

Efficient Maximal Coding Rate Reduction by Variational Forms

• 论文/Paper: http://arxiv.org/pdf/2204.00077
• 代码/Code: None

Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos

• 论文/Paper: http://arxiv.org/pdf/2204.01696

• 代码/Code: None

LISA: Learning Implicit Shape and Appearance of Hands

• 论文/Paper: http://arxiv.org/pdf/2204.01695

• 代码/Code: None

Exemplar-bsaed Pattern Synthesis with Implicit Periodic Field Network

• 论文/Paper: http://arxiv.org/pdf/2204.01671

• 代码/Code: None

Degradation-agnostic Correspondence from Resolution-asymmetric Stereo

• 论文/Paper: http://arxiv.org/pdf/2204.01429

• 代码/Code: None

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

• 论文/Paper: http://arxiv.org/pdf/2204.01320

• 代码/Code: None

Exploiting Temporal Relations on Radar Perception for Autonomous Driving

• 论文/Paper: http://arxiv.org/pdf/2204.01184

• 代码/Code: None

BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion

• 论文/Paper: http://arxiv.org/pdf/2204.01139

• 代码/Code: None

Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature

• 论文/Paper: http://arxiv.org/pdf/2204.00974

• 代码/Code: https://github.com/lightchaserx/neural-global-shutter

DST: Dynamic Substitute Training for Data-free Black-box Attack

• 论文/Paper: http://arxiv.org/pdf/2204.00972

• 代码/Code: None

Progressive Minimal Path Method with Embedded CNN

• 论文/Paper: http://arxiv.org/pdf/2204.00944

• 代码/Code: None

Online Convolutional Re-parameterization

• 论文/Paper: http://arxiv.org/pdf/2204.00826

• 代码/Code: None

SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks

• 论文/Paper: http://arxiv.org/pdf/2204.00644
• 代码/Code: None

Rethinking Visual Geo-localization for Large-Scale Applications

• 论文/Paper: http://arxiv.org/pdf/2204.02287
• 代码/Code: None

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images

• 论文/Paper: http://arxiv.org/pdf/2204.02232
• 代码/Code: None

SNUG: Self-Supervised Neural Dynamic Garments

• 论文/Paper: http://arxiv.org/pdf/2204.02219
• 代码/Code: None

Leveraging Equivariant Features for Absolute Pose Regression

• 论文/Paper: http://arxiv.org/pdf/2204.02163
• 代码/Code: None

MonoTrack: Shuttle trajectory reconstruction from monocular badminton video

• 论文/Paper: http://arxiv.org/pdf/2204.01899
• 代码/Code: None

Revisiting Near/Remote Sensing with Geospatial Attention

• 论文/Paper: http://arxiv.org/pdf/2204.01807
• 代码/Code: None

Temporal Alignment Networks for Long-term Video

• 论文/Paper: http://arxiv.org/pdf/2204.02968
• 代码/Code: None

"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

• 论文/Paper: http://arxiv.org/pdf/2204.02944
• 代码/Code: None

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

• 论文/Paper: http://arxiv.org/pdf/2204.02738
• 代码/Code: None

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

• 论文/Paper: http://arxiv.org/pdf/2204.02701
• 代码/Code: https://github.com/yizhiwang96/TextLogoLayout

Learning to Anticipate Future with Dynamic Context Removal

• 论文/Paper: http://arxiv.org/pdf/2204.02587
• 代码/Code: https://github.com/AllenXuuu/DCR.

SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference

• 论文/Paper: http://arxiv.org/pdf/2204.02585
• 代码/Code: None

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

• 论文/Paper: http://arxiv.org/pdf/2204.02569
• 代码/Code: None

MixFormer: Mixing Features across Windows and Dimensions

• 论文/Paper: http://arxiv.org/pdf/2204.02557
• 代码/Code: https://github.com/PaddlePaddle/PaddleClas

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

• 论文/Paper: http://arxiv.org/pdf/2204.02553
• 代码/Code: None

Adversarial Robustness through the Lens of Convolutional Filters

• 论文/Paper: http://arxiv.org/pdf/2204.02481
• 代码/Code: website: https://github.com/paulgavrikov/cvpr22w_RobustnessThroughTheLens

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2204.02480
• 代码/Code: None

Total Variation Optimization Layers for Computer Vision

• 论文/Paper: http://arxiv.org/pdf/2204.03643
• 代码/Code: https://github.com/raymondyeh07/tv_layers_for_cv

Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction

• 论文/Paper: http://arxiv.org/pdf/2204.03642
• 代码/Code: None

Class-Incremental Learning with Strong Pre-trained Models

• 论文/Paper: http://arxiv.org/pdf/2204.03634
• 代码/Code: None

AutoRF: Learning 3D Object Radiance Fields from Single View Observations

• 论文/Paper: http://arxiv.org/pdf/2204.03593
• 代码/Code: None

Deep Visual Geo-localization Benchmark

• 论文/Paper: http://arxiv.org/pdf/2204.03444
• 代码/Code: None

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

• 论文/Paper: http://arxiv.org/pdf/2204.03162
• 代码/Code: None

UIGR: Unified Interactive Garment Retrieval

• 论文/Paper: http://arxiv.org/pdf/2204.03111
• 代码/Code: https://github.com/brandonhanx/compfashion

AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis

• 论文/Paper: http://arxiv.org/pdf/2204.03105
• 代码/Code: None

Hierarchical Self-supervised Representation Learning for Movie Understanding

• 论文/Paper: http://arxiv.org/pdf/2204.03101
• 代码/Code: None

Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency

• 论文/Paper: http://arxiv.org/pdf/2204.03017
• 代码/Code: None

Multi-Scale Memory-Based Video Deblurring

• 论文/Paper: http://arxiv.org/pdf/2204.02977
• 代码/Code: https://github.com/jibo27/memdeblur

Gravitationally Lensed Black Hole Emission Tomography

• 论文/Paper: http://arxiv.org/abs/2204.03715
• 代码/Code: None

General Incremental Learning with Domain-aware Categorical Representations

• 论文/Paper: http://arxiv.org/abs/2204.04078
• 代码/Code: None

Identifying Ambiguous Similarity Conditions via Semantic Matching

• 论文/Paper: http://arxiv.org/abs/2204.04053
• 代码/Code: None

Does Robustness on ImageNet Transfer to Downstream Tasks?

• 论文/Paper: http://arxiv.org/abs/2204.03934
• 代码/Code: None

Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection

• 论文/Paper: http://arxiv.org/abs/2204.03929
• 代码/Code: None

CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

• 论文/Paper: http://arxiv.org/abs/2204.03880
• 代码/Code: None

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

• 论文/Paper: http://arxiv.org/abs/2204.03838
• 代码/Code: https://github.com/xiaoachen98/DALN

TorMentor: Deterministic dynamic-path, data augmentations with fractals

• 论文/Paper: http://arxiv.org/abs/2204.03776
• 代码/Code: None

TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates

• 论文/Paper: http://arxiv.org/abs/2204.03671
• 代码/Code: None

Single-Photon Structured Light

• 论文/Paper: http://arxiv.org/pdf/2204.05300
• 代码/Code: None

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

• 论文/Paper: http://arxiv.org/pdf/2204.05041
• 代码/Code: None

Structure-Aware Motion Transfer with Deformable Anchor Model

• 论文/Paper: http://arxiv.org/pdf/2204.05018
• 代码/Code: None

Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog

• 论文/Paper: http://arxiv.org/pdf/2204.04680
• 代码/Code: None

NAN: Noise-Aware NeRFs for Burst-Denoising

• 论文/Paper: http://arxiv.org/pdf/2204.04668
• 代码/Code: None

Learning Pixel-Level Distinctions for Video Highlight Detection

• 论文/Paper: http://arxiv.org/pdf/2204.04615
• 代码/Code: None

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

• 论文/Paper: http://arxiv.org/pdf/2204.04601
• 代码/Code: None

DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides

• 论文/Paper: http://arxiv.org/pdf/2204.04494
• 代码/Code: None

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation

• 论文/Paper: http://arxiv.org/pdf/2204.04428
• 代码/Code: None

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

• 论文/Paper: http://arxiv.org/pdf/2204.04677
• 代码/Code: https://github.com/Xu-Jingyi/FedCorr

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning

• 论文/Paper: http://arxiv.org/pdf/2204.04424
• 代码/Code: None

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization

• 论文/Paper: http://arxiv.org/pdf/2204.04384
• 代码/Code: None

Continual Predictive Learning from Videos

• 论文/Paper: http://arxiv.org/pdf/2204.05624
• 代码/Code: https://github.com/jc043/CPL

Few-shot Learning with Noisy Labels

• 论文/Paper: http://arxiv.org/pdf/2204.05494
• 代码/Code: None

Out-Of-Distribution Detection In Unsupervised Continual Learning

• 论文/Paper: http://arxiv.org/pdf/2204.05462
• 代码/Code: None

Generalizing Adversarial Explanations with Grad-CAM

• 论文/Paper: http://arxiv.org/pdf/2204.05427
• 代码/Code: None

Recognition of Freely Selected Keypoints on Human Limbs

• 论文/Paper: http://arxiv.org/pdf/2204.06326
• 代码/Code: None

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection

• 论文/Paper: http://arxiv.org/pdf/2204.06272
• 代码/Code: None

Defensive Patches for Robust Recognition in the Physical World

• 论文/Paper: http://arxiv.org/pdf/2204.06213
• 代码/Code: https://github.com/nlsde-safety-team/DefensivePatch

COAP: Compositional Articulated Occupancy of People

• 论文/Paper: http://arxiv.org/pdf/2204.06184
• 代码/Code: None

What's in your hands? 3D Reconstruction of Generic Objects in Hands

• 论文/Paper: http://arxiv.org/pdf/2204.07153
• 代码/Code: None

GIFS: Neural Implicit Function for General Shape Representation

• 论文/Paper: http://arxiv.org/pdf/2204.07126
• 代码/Code: None

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark

• 论文/Paper: http://arxiv.org/pdf/2204.06972
• 代码/Code: None

Semi-Supervised Training to Improve Player and Ball Detection in Soccer

• 论文/Paper: http://arxiv.org/pdf/2204.06859
• 代码/Code: https://github.com/rvandeghen/SST

Pyramidal Attention for Saliency Detection

• 论文/Paper: http://arxiv.org/pdf/2204.06788
• 代码/Code: https://github.com/tanveer-hussain/EfficientSOD2

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

• 论文/Paper: http://arxiv.org/pdf/2204.06577
• 代码/Code: https://github.com/dschinagl/occam

返回目录/back

参考：

如何评价 CVPR2022 的论文接收结果？