Shortcuts

Datasets




Halpe (CVPR’2020)


Topdown Heatmap + Hrnet + Dark on Halpe

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}
}
DarkPose (CVPR'2020)
@inproceedings{zhang2020distribution,
  title={Distribution-aware coordinate representation for human pose estimation},
  author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7093--7102},
  year={2020}
}
Halpe (CVPR'2020)
@inproceedings{li2020pastanet,
  title={PaStaNet: Toward Human Activity Knowledge Engine},
  author={Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
  booktitle={CVPR},
  year={2020}
}

Results on Halpe v1.0 val with detector having human AP of 56.4 on COCO val2017 dataset

Arch Input Size Whole AP Whole AR ckpt log
pose_hrnet_w48_dark+ 384x288 0.531 0.642 ckpt log

Note: + means the model is first pre-trained on original COCO dataset, and then fine-tuned on Halpe dataset. We find this will lead to better performance.

Read the Docs v: latest
Versions
latest
v0.14.0
cn_doc
Downloads
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.