Human Pose Estimation on LSP extended (test)
55PCK@0.05Ours (EHM-s)
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ours (EHM-s)Model=EHM-s, Predict parts=Body,face,hand, FPS=1002026.01 | 55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 81 | |
| HMR 2.0bTraining Data=extended data (AVA, AI Challenger, InstaVariety)2023.05 | 53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 82 | |
| Multi-HMRModel=SMPLX, Predict parts=Body,face,hand, FPS=102026.01 | 43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70 | |
| OSXModel=SMPLX, Predict parts=Body,face,hand, FPS=202026.01 | 42 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 73 | |
| SMPLest-XModel=SMPLX, Predict parts=Body,face,hand, FPS=202026.01 | 40 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 74 | |
| HMR 2.0aTraining Data=typical datasets2023.05 | 38 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72 | |
| CLIFF2023.05 | 32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66 | |
| PARE2023.05 | 27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60 | |
| Belagiannis & Zisserman2017.02 | — | 95.2 | 89 | 81.5 | 77 | 83.7 | 87 | 82.8 | 85.2 | — | — | — | — | — | — | — | — | — | |
| Belagiannis & Zisserman2017.08 | — | — | — | — | — | — | — | — | — | 95.2 | 89 | 81.5 | 77 | 83.7 | 87 | 82.8 | 85.2 | — | |
| Bulat & Tzimiropoulos2017.02 | — | 97.2 | 92.1 | 88.1 | 85.2 | 92.2 | 91.4 | 88.7 | 90.7 | — | — | — | — | — | — | — | — | — | |
| Bulat & Tzimiropoulos2017.08 | — | — | — | — | — | — | — | — | — | 97.2 | 92.1 | 88.1 | 85.2 | 92.2 | 91.4 | 88.7 | 90.7 | — | |
| Insafutdinov et al.2017.02 | — | 97.4 | 92.7 | 87.5 | 84.4 | 91.5 | 89.9 | 87.2 | 90.1 | — | — | — | — | — | — | — | — | — | |
| Insafutdinov et al.2017.08 | — | — | — | — | — | — | — | — | — | 97.4 | 92.7 | 87.5 | 84.4 | 91.5 | 89.9 | 87.2 | 90.1 | — | |
| Lifshitz et al.2017.02 | — | 96.8 | 89 | 82.7 | 79.1 | 90.9 | 86 | 82.5 | 86.7 | — | — | — | — | — | — | — | — | — | |
| Lifshitz et al.2017.08 | — | — | — | — | — | — | — | — | — | 96.8 | 89 | 82.7 | 79.1 | 90.9 | 86 | 82.5 | 86.7 | — | |
| Multi-Context Attentionimage pyramids=6 scales2017.02 | — | 98.1 | 93.7 | 89.3 | 86.9 | 93.4 | 94 | 92.5 | 92.6 | — | — | — | — | — | — | — | — | — | |
| Pishchulin et al.2017.02 | — | 97 | 91 | 83.8 | 78.1 | 91 | 86.7 | 82 | 87.1 | — | — | — | — | — | — | — | — | — | |
| Pishchulin et al.2017.08 | — | — | — | — | — | — | — | — | — | 97 | 91 | 83.8 | 78.1 | 91 | 86.7 | 82 | 87.1 | — | |
| PyraNetNote=Ours2017.08 | — | — | — | — | — | — | — | — | — | 98.3 | 94.5 | 92.2 | 88.9 | 94.4 | 95 | 93.7 | 93.9 | — | |
| Wei et al.2017.02 | — | 97.8 | 92.5 | 87 | 83.9 | 91.5 | 90.8 | 89.9 | 90.5 | — | — | — | — | — | — | — | — | — | |
| Wei et al.2017.08 | — | — | — | — | — | — | — | — | — | 97.8 | 92.5 | 87 | 83.9 | 91.5 | 90.8 | 89.9 | 90.5 | — |