PRTR
PRTR: Pose Recognition with Cascade Transformers
This repository is the official implementation for Pose Recognition with Cascade Transformers. It proposes two types of cascade Transformers, as follows, for pose recognition.
Two-stage Transformers
Please refer to README.md for detailed usage of the two-stage model variant.
Sequential Transformers
Please refer to annotated_prtr.ipynb for implementation of the sequential (end-to-end) model variant.
For more details, please see Pose Recognition with Cascade Transformers by Ke Li*, Shijie Wang*, Xiang Zhang*, Yifan Xu, Weijian Xu, and Zhuowen Tu.
Updates
04/19/2021: Illustrative code for sequential PRTR is released
04/24/2021: Code, logs, and pre-trained models for two-stage PRTR are released
Citation
@InProceedings{Li_2021_CVPR,
author = {Li, Ke and Wang, Shijie and Zhang, Xiang and Xu, Yifan and Xu, Weijian and Tu, Zhuowen},
title = {Pose Recognition With Cascade Transformers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {1944-1953}
}