@inproceedings{xiao2018simple,
title={Simple baselines for human pose estimation and tracking},
author={Xiao, Bin and Wu, Haiping and Wei, Yichen},
booktitle={Proceedings of the European conference on computer vision (ECCV)},
pages={466--481},
year={2018}
}
@inproceedings{he2016deep,
title={Deep residual learning for image recognition},
author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={770--778},
year={2016}
}
@TechReport{zb2017hand,
author={Christian Zimmermann and Thomas Brox},
title={Learning to Estimate 3D Hand Pose from Single RGB Images},
institution={arXiv:1705.01389},
year={2017},
note="https://arxiv.org/abs/1705.01389",
url="https://lmb.informatik.uni-freiburg.de/projects/hand3d/"
}
Results on RHD test set
Arch | Input Size | PCK@0.2 | AUC | EPE | ckpt | log |
---|---|---|---|---|---|---|
pose_resnet50 | 256x256 | 0.991 | 0.898 | 2.32 | ckpt | log |