Human Pose Estimation on MPII-C (val)
90.3PCKhHRNet
Evaluation Results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HRNetMethod Type=Top-down, Backbone=HRNet-W32, Input size=256 x 2562021.05 | 90.3 | 80.1 | 88.7 | 71.5 | 74.1 | 72.4 | 86 | 87 | 85.3 | 56 | 73.8 | 78.6 | 86.1 | 88.5 | 74.5 | 89.5 | 89.5 | 88.7 | |
| SBLMethod Type=Top-down, Backbone=ResNet-152, Input size=256 x 2562021.05 | 89.6 | 79.6 | 88.8 | 74.1 | 76.3 | 74.1 | 85.3 | 86.5 | 84.8 | 54.5 | 72.1 | 77.6 | 84.4 | 87.7 | 71.4 | 88.8 | 88.8 | 87.9 | |
| SBLMethod Type=Top-down, Backbone=ResNet-101, Input size=256 x 2562021.05 | 89.1 | 78.6 | 88.3 | 70.4 | 73.1 | 70.6 | 84.8 | 86 | 84.1 | 53.9 | 72.2 | 76.9 | 84.1 | 87 | 71.9 | 88.3 | 88.4 | 87.3 | |
| SBLMethod Type=Top-down, Backbone=ResNet-50, Input size=256 x 2562021.05 | 88.5 | 77.5 | 87.6 | 68.9 | 71.6 | 68.9 | 84.2 | 85.3 | 83.6 | 53.7 | 70 | 75.6 | 83.1 | 86.6 | 69.1 | 87.8 | 87.8 | 86.8 |