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Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours

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.gitignore
.gitignore
 
 
NCEAverage.py
NCEAverage.py
 
 
NCECriterion.py
NCECriterion.py
 
 
README.md
README.md
 
 
dataset.py
dataset.py
 
 
dataset_test.py
dataset_test.py
 
 
downSampling_test.py
downSampling_test.py
 
 
downsampling_arg.py
downsampling_arg.py
 
 
downsampling_dataset_test.py
downsampling_dataset_test.py
 
 
downsampling_fusion.py
downsampling_fusion.py
 
 
downsampling_temporal_transforms.py
downsampling_temporal_transforms.py
 
 
downsampling_test.py
downsampling_test.py
 
 
loss.py
loss.py
 
 
model.py
model.py
 
 
resnet.py
resnet.py
 
 
spatial_transforms.py
spatial_transforms.py
 
 
temporal_transforms.py
temporal_transforms.py
 
 
testdad.py
testdad.py
 
 
train.py
train.py
 
 
utils.py
utils.py
 
 

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Modified Supervised-Contrastive-Learning-for-Detecting-Anomalous-Driving-Behaviours

PyTorch Implementation of Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours

Citation Policy - If you use this code, then please cite our corresponding paper as follows: "Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours", Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, and Ali Abedi.

clip.1.mp4

Requirments

  • Python3
  • torch=1.7.1
  • sklearn=0.23.2
  • pandas=1.2.1
  • numpy=1.20.1

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