2D backbone pretraining details

[Deng-Y]

Hello,

May I ask for more details regarding 2D backbone pretraining? Quoted from the paper:

The 2D backbone for Human3.6M was pretrained on the COCO dataset [10] and finetuned jointly on MPII and Human3.6M for 10 epochs using the Adam optimizer with 10^−4 learning rate.

I have the following questions:

1. What loss function do you use in pretraining?
2. The setting "for 10 epochs using the Adam optimizer with 10^−4 learning rate" seems only to apply to the fine-tuning on MPII and Human3.6M, then what's the setting for the COCO dataset?
3. Can you provide the pretraining code or recommend a GitHub repository for pretraining?

I found that pretraining is very important. I trained the volumetric model without loading pretrained weights of the 2D backbone, and the relative MPJPE increase drastically from ~20 to ~30. Thus, 2D backbone pertaining is quite necessary.

Look forward to hearing from you. Thank you!