Qiming Zhang

Results 11 comments of Qiming Zhang

Hi, thanks for your interest. We will release the code after Nov. 15.

Hi, Thanks for your interest. X_s, Y_s and X_t are used in the warmup stage. It's a typo.

Hi, Thanks for your interest. 'IoU' means intersection over the union. When the class number decreases from 16 to 13, the redundant 3 classes should be ignored, leading to the...

Hi there. Yes it's DeepLab v3+. Very thanks for your pointing out and sorry for the mistakes. I would revise the paper. I would also re-implement the CAG model of...

Hi. Yes a more advanced model will improve the model. However, I re-implemented the baseline model based on Deeplab v3+. Then the performance sees an increase after CAG training, proving...

Hi there, Thanks for your suggestion. 1. The batch size was set to 1 when I trained the model. Then in my re-implementation, I set it to 4 for a...

It is indeed a challenging problem to reduce the overlap between two datasets. Thus we will remove the CrowdPose-related joint training results at this moment. If the authors of Crowdpose...

Hi, thanks for your interest. The path of the vit backbone defination is here https://github.com/ViTAE-Transformer/ViTPose/blob/main/mmpose/models/backbones/vit.py

Hi, the code has been released. Thank you very much for your interest!

Hi, all. The code and pretrained weight for the hierarchical models with classification have been released. Thank you very much for your patience. All other models, logs, and codes will...