mirror of https://github.com/open-mmlab/mmpose
2.5 KiB
2.5 KiB
HRNet (CVPR'2019)
@inproceedings{sun2019deep,
title={Deep high-resolution representation learning for human pose estimation},
author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={5693--5703},
year={2019}
}
Animal-Pose (ICCV'2019)
@InProceedings{Cao_2019_ICCV,
author = {Cao, Jinkun and Tang, Hongyang and Fang, Hao-Shu and Shen, Xiaoyong and Lu, Cewu and Tai, Yu-Wing},
title = {Cross-Domain Adaptation for Animal Pose Estimation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}
Results on AnimalPose validation set (1117 instances)
Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log |
---|---|---|---|---|---|---|---|---|
pose_hrnet_w32 | 256x256 | 0.740 | 0.959 | 0.833 | 0.780 | 0.965 | ckpt | log |
pose_hrnet_w48 | 256x256 | 0.738 | 0.958 | 0.831 | 0.778 | 0.962 | ckpt | log |