ViTPose/configs/face/2d_kpt_sview_rgb_img/deeppose/README.md

DeepPose: Human pose estimation via deep neural networks

Introduction

DeepPose (CVPR'2014)

@inproceedings{toshev2014deeppose,
  title={Deeppose: Human pose estimation via deep neural networks},
  author={Toshev, Alexander and Szegedy, Christian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1653--1660},
  year={2014}
}

DeepPose first proposes using deep neural networks (DNNs) to tackle the problem of pose estimation. It follows the top-down paradigm, that first detects the bounding boxes and then estimates poses. It learns to directly regress the face keypoint coordinates.