mmpose/configs/body_2d_keypoint/rtmpose/body8/rtmpose_body8-halpe26.md

RTMPose (arXiv'2023)

@misc{https://doi.org/10.48550/arxiv.2303.07399,
  doi = {10.48550/ARXIV.2303.07399},
  url = {https://arxiv.org/abs/2303.07399},
  author = {Jiang, Tao and Lu, Peng and Zhang, Li and Ma, Ningsheng and Han, Rui and Lyu, Chengqi and Li, Yining and Chen, Kai},
  keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

RTMDet (arXiv'2022)

@misc{lyu2022rtmdet,
      title={RTMDet: An Empirical Study of Designing Real-Time Object Detectors},
      author={Chengqi Lyu and Wenwei Zhang and Haian Huang and Yue Zhou and Yudong Wang and Yanyi Liu and Shilong Zhang and Kai Chen},
      year={2022},
      eprint={2212.07784},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

AlphaPose (TPAMI'2022)

@article{alphapose,
  author = {Fang, Hao-Shu and Li, Jiefeng and Tang, Hongyang and Xu, Chao and Zhu, Haoyi and Xiu, Yuliang and Li, Yong-Lu and Lu, Cewu},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title = {AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time},
  year = {2022}
}

• * denotes model trained on 7 public datasets:
  • AI Challenger
  • MS COCO
  • CrowdPose
  • MPII
  • sub-JHMDB
  • Halpe
  • PoseTrack18
• Body8 denotes the addition of the OCHuman dataset, in addition to the 7 datasets mentioned above, for evaluation.

Config	Input Size	PCK@0.1 (Body8)	AUC (Body8)	Params(M)	FLOPS(G)	Download
RTMPose-t*	256x192	91.89	66.35	3.51	0.37	Model
RTMPose-s*	256x192	93.01	68.62	5.70	0.70	Model
RTMPose-m*	256x192	94.75	71.91	13.93	1.95	Model
RTMPose-l*	256x192	95.37	73.19	28.11	4.19	Model
RTMPose-m*	384x288	95.15	73.56	14.06	4.37	Model
RTMPose-l*	384x288	95.56	74.38	28.24	9.40	Model
RTMPose-x*	384x288	95.74	74.82	50.00	17.29	Model