mirror of https://github.com/open-mmlab/mmpose
2.0 KiB
2.0 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}
}
ExLPose (2023)
@inproceedings{ExLPose_2023_CVPR,
title={Human Pose Estimation in Extremely Low-Light Conditions},
author={Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, ByungJu Woo, Haechan Lee, Sunghyun Cho, Suha Kwak},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2023}
}
Results on ExLPose-LLA val set with ground-truth bounding boxes
Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log |
---|---|---|---|---|---|---|---|---|
pose_hrnet_w32 | 256x192 | 0.401 | 0.64 | 0.40 | 0.452 | 0.693 | ckpt | log |