Human Pose Estimation on COCO-C (val)
76.3AP*HRNet
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HRNetMethod Type=Top-down, Backbone=HRNet-W48, Input size=384 x 288, Detection Bounding Boxes=provided by [36]2021.05 | 76.3 | 54.2 | 71.1 | 52.8 | 55.8 | 54.2 | 47.6 | 47.3 | 43.4 | 19.5 | 58.3 | 60.9 | 67.5 | 72.3 | 56.3 | 61.6 | 59.2 | 57.1 | |
| HRNetMethod Type=Top-down, Backbone=HRNet-W32, Input size=384 x 288, Detection Bounding Boxes=provided by [36]2021.05 | 75.7 | 53.7 | 70.9 | 51.9 | 54.7 | 53.7 | 47.8 | 47.1 | 43.8 | 19.8 | 57.9 | 60.3 | 66.5 | 71.6 | 55.4 | 61.1 | 58.1 | 55.8 | |
| HRNetMethod Type=Top-down, Backbone=HRNet-W48, Input size=256 x 192, Detection Bounding Boxes=provided by [36]2021.05 | 75.1 | 53.7 | 71.6 | 52.5 | 55.2 | 53.4 | 46.8 | 46.7 | 43.5 | 19.1 | 57 | 60.1 | 66.4 | 71.4 | 55.2 | 61.1 | — | — | |
| HRNetMethod Type=Top-down, Backbone=HRNet-W32, Input size=256 x 192, Detection Bounding Boxes=provided by [36]2021.05 | 74.4 | 53 | 71.3 | 51.3 | 54.2 | 52.6 | 46.9 | 46.3 | 43.5 | 19.2 | 55.9 | 59.1 | 65.2 | 70.3 | 54.1 | 60.5 | 59.4 | 56.9 | |
| SBLMethod Type=Top-down, Backbone=ResNet-101, Input size=384 x 288, Detection Bounding Boxes=provided by [36]2021.05 | 73.6 | 50.4 | 68.4 | 49.2 | 51.7 | 49.1 | 44.8 | 43.9 | 40 | 17.7 | 52.5 | 56.4 | 62.7 | 69 | 51.2 | 59 | 55.5 | 52.7 | |
| SBLMethod Type=Top-down, Backbone=ResNet-50, Input size=384 x 288, Detection Bounding Boxes=provided by [36]2021.05 | 72.2 | 47.7 | 66.1 | 45.2 | 47.8 | 45.9 | 42.9 | 42.1 | 38.1 | 16.3 | 49.9 | 53.2 | 60 | 66.8 | 48.2 | 57.3 | 53.2 | 49.2 | |
| SBLMethod Type=Top-down, Backbone=ResNet-101, Input size=256 x 192, Detection Bounding Boxes=provided by [36]2021.05 | 71.4 | 49.6 | 69.5 | 47.8 | 50.1 | 47.2 | 45.1 | 43.8 | 40.3 | 17.6 | 50.9 | 54.9 | 60.9 | 67 | 49.7 | 58.1 | 57 | 53.8 | |
| SBLMethod Type=Top-down, Backbone=ResNet-50, Input size=256 x 192, Detection Bounding Boxes=provided by [36]2021.05 | 70.4 | 47.8 | 67.9 | 45.8 | 48.1 | 45.6 | 43.4 | 42.1 | 38.8 | 16.3 | 49.1 | 52.5 | 58.9 | 65.5 | 47.2 | 56.7 | 55.2 | 51.7 | |
| HrHRNetMethod Type=Bottom-up, Backbone=HrHRNet-W48, Input size=640 x 6402021.05 | 69.8 | 40.8 | 58.4 | 36.7 | 39.8 | 37.9 | 35.6 | 33.1 | 34.2 | 12.5 | 44.7 | 49 | 56.3 | 62.8 | 43.7 | 51.3 | 39.9 | 34.3 | |
| HRNetMethod Type=Top-down, Backbone=HRNet-W48, Input size=128 x 96, Detection Bounding Boxes=provided by [36]2021.05 | 68.6 | 49.3 | 71.8 | 45.9 | 48.8 | 46.1 | 45.3 | 44.4 | 42.4 | 16.5 | 49.6 | 54.1 | 59.8 | 65 | 49.4 | 57.3 | 59.2 | 55.2 | |
| HrHRNetMethod Type=Bottom-up, Backbone=HrHRNet-W32, Input size=640 x 6402021.05 | 68.5 | 39.6 | 57.8 | 31.5 | 38.9 | 37.6 | 34.8 | 32.6 | 33.8 | 12.1 | 44 | 47.9 | 55.1 | 61.4 | 42.9 | 50.6 | 37.8 | 33.2 | |
| HrHRNetMethod Type=Bottom-up, Backbone=HrHRNet-W48, Input size=512 x 5122021.05 | 68.5 | 41.9 | 61.2 | 39.3 | 42.2 | 40.1 | 36.1 | 33.5 | 35.1 | 13.1 | 45 | 49.1 | 56.7 | 62.1 | 45.5 | 51.4 | 42.2 | 36.9 | |
| PifPafMethod Type=Bottom-up, Backbone=ResNet-101, Input size=641 x 6412021.05 | 68.3 | 40.6 | 59.5 | 38 | 39.4 | 36.6 | 36.9 | 34.6 | 31.6 | 11.2 | 42.6 | 46.6 | 56 | 62 | 42.4 | 52.6 | 37.2 | 41.3 | |
| HrHRNetMethod Type=Bottom-up, Backbone=HrHRNet-W32, Input size=512 x 5122021.05 | 67.1 | 39.9 | 59.4 | 34.2 | 37 | 35.2 | 35.1 | 32.5 | 34 | 12.5 | 43.3 | 47.6 | 54.9 | 60.6 | 43.4 | 50.3 | 42.2 | 35 | |
| HRNetMethod Type=Top-down, Backbone=HRNet-W32, Input size=128 x 96, Detection Bounding Boxes=provided by [36]2021.05 | 66.9 | 47.2 | 70.6 | 42.7 | 45.7 | 43 | 44 | 43.1 | 40.9 | 15.9 | 47.1 | 51.4 | 57.4 | 63 | 47.5 | 55.7 | 57.2 | 53.4 | |
| PifPafMethod Type=Bottom-up, Backbone=ResNet-50, Input size=641 x 6412021.05 | 64.8 | 34.4 | 53.1 | 30.4 | 32.2 | 29.5 | 30.9 | 27.9 | 26.5 | 8.8 | 36.4 | 40.2 | 49.9 | 57.3 | 34.9 | 47.8 | 29.9 | 34.1 | |
| SBLMethod Type=Top-down, Backbone=ResNet-101, Input size=128 x 96, Detection Bounding Boxes=provided by [36]2021.05 | 61.1 | 42.6 | 69.7 | 40.4 | 42.6 | 39.6 | 40.7 | 39.9 | 36.8 | 14.5 | 41.3 | 45.2 | 49.6 | 56.8 | 38.6 | 51.1 | 53.2 | 49.1 | |
| PifPafMethod Type=Bottom-up, Backbone=ShuffleNet V2, Input size=641 x 6412021.05 | 60.7 | 32.9 | 54.2 | 25.7 | 27.3 | 24.6 | 29.1 | 28.5 | 26.4 | 8.8 | 33.5 | 38.5 | 47.6 | 54.3 | 34.1 | 45.7 | 33.4 | 35.7 | |
| SBLMethod Type=Top-down, Backbone=ResNet-50, Input size=128 x 96, Detection Bounding Boxes=provided by [36]2021.05 | 59 | 40.7 | 69 | 37.8 | 39.8 | 36.9 | 39.5 | 38.1 | 35.3 | 13.3 | 39.1 | 43 | 48.1 | 54.5 | 38.5 | 49.2 | 50.9 | 47.1 |