Pose Estimation on AP-10K
0.722APHRNet
Evaluation results
| Method | Links | |
|---|---|---|
| HRNetBackbone=HRNet-w32, Input Size=256 x 256, GFLOPs=10.27, Pre-trained=false2023.03 | 0.722 | |
| RTMPose-mBackbone=CSPNeXt-m, Input Size=256 x 256, GFLOPs=2.57, Pre-trained=AIC+COCO2023.03 | 0.722 | |
| RTMPose-mBackbone=CSPNeXt-m, Input Size=256 x 256, GFLOPs=2.57, Pre-trained=false2023.03 | 0.684 | |
| SimpleBaselineBackbone=ResNet-50, Input Size=256 x 256, GFLOPs=7.28, Pre-trained=false2023.03 | 0.68 |