3D Human Pose Estimation on H3.6M ECCV18 challenge (train)
56.4P-MPJPE (mm)Ours
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OursType=Knowledge distilling method2019.08 | 56.4 | 80.9 | 71.2 | |
| Weaksup-bsType=Weakly supervised baseline2019.08 | 61.2 | 86.2 | 75.3 | |
| Deep-NRSfM*Implementation=Paper's implementation2019.08 | 73.2 | 101.6 | 76.5 | |
| Consensus2019.08 | 79.6 | 120.1 | 111.5 | |
| RIKSEvaluation subset=5k images2019.08 | 103.9 | — | — | |
| KSTAEvaluation subset=5k images2019.08 | 123.6 | — | — | |
| SFC2019.08 | 167.1 | 218 | 135.6 | |
| SPMEvaluation subset=2k images2019.08 | 209.5 | — | — | |
| Sparse2019.08 | 217.4 | — | — | |
| Ranklet2019.08 | 281.1 | — | — |