mirror of https://github.com/open-mmlab/mmpose
6.5 KiB
6.5 KiB
RTMO
@misc{lu2023rtmo,
title={{RTMO}: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation},
author={Peng Lu and Tao Jiang and Yining Li and Xiangtai Li and Kai Chen and Wenming Yang},
year={2023},
eprint={2312.07526},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
AI Challenger (ArXiv'2017)
@article{wu2017ai,
title={Ai challenger: A large-scale dataset for going deeper in image understanding},
author={Wu, Jiahong and Zheng, He and Zhao, Bo and Li, Yixin and Yan, Baoming and Liang, Rui and Wang, Wenjia and Zhou, Shipei and Lin, Guosen and Fu, Yanwei and others},
journal={arXiv preprint arXiv:1711.06475},
year={2017}
}
COCO (ECCV'2014)
@inproceedings{lin2014microsoft,
title={Microsoft coco: Common objects in context},
author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
booktitle={European conference on computer vision},
pages={740--755},
year={2014},
organization={Springer}
}
CrowdPose (CVPR'2019)
@article{li2018crowdpose,
title={CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark},
author={Li, Jiefeng and Wang, Can and Zhu, Hao and Mao, Yihuan and Fang, Hao-Shu and Lu, Cewu},
journal={arXiv preprint arXiv:1812.00324},
year={2018}
}
JHMDB (ICCV'2013)
@inproceedings{Jhuang:ICCV:2013,
title = {Towards understanding action recognition},
author = {H. Jhuang and J. Gall and S. Zuffi and C. Schmid and M. J. Black},
booktitle = {International Conf. on Computer Vision (ICCV)},
month = Dec,
pages = {3192-3199},
year = {2013}
}
MPII (CVPR'2014)
@inproceedings{andriluka14cvpr,
author = {Mykhaylo Andriluka and Leonid Pishchulin and Peter Gehler and Schiele, Bernt},
title = {2D Human Pose Estimation: New Benchmark and State of the Art Analysis},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2014},
month = {June}
}
PoseTrack18 (CVPR'2018)
@inproceedings{andriluka2018posetrack,
title={Posetrack: A benchmark for human pose estimation and tracking},
author={Andriluka, Mykhaylo and Iqbal, Umar and Insafutdinov, Eldar and Pishchulin, Leonid and Milan, Anton and Gall, Juergen and Schiele, Bernt},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={5167--5176},
year={2018}
}
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 COCO val2017
Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log | onnx |
---|---|---|---|---|---|---|---|---|---|
RTMO-t | 640x640 | 0.574 | 0.803 | 0.613 | 0.611 | 0.836 | ckpt | log | onnx |
RTMO-s | 640x640 | 0.686 | 0.879 | 0.744 | 0.723 | 0.908 | ckpt | log | onnx |
RTMO-m | 640x640 | 0.726 | 0.899 | 0.790 | 0.763 | 0.926 | ckpt | log | onnx |
RTMO-l | 640x640 | 0.748 | 0.911 | 0.813 | 0.786 | 0.939 | ckpt | log | onnx |