| image-classification-on-imagenet | HRFormer-B | #481 | Top 1 Accuracy: 82.8%Number of params: 50.3MGFLOPs: 13.7 |
| image-classification-on-imagenet | HRFormer-T | #782 | Top 1 Accuracy: 78.5%Number of params: 8.0MGFLOPs: 1.8 |
| multi-person-pose-estimation-on-crowdpose | HRFormer-B | #7 | mAP @0.5:0.95: 72.4AP Easy: 80.0AP Medium: 73.5AP Hard: 62.4 |
| multi-person-pose-estimation-on-ochuman | HRFormer-B | #4 | AP50: 81.4AP75: 67.1Validation AP: 62.1 |
| pose-estimation-on-aic | HRFormer (HRFomer-B) | #3 | AP: 34.4AP75: 24.8AR: 38.7AR50: 80.9AP50: 78.3 |
| pose-estimation-on-aic | HRFormer (HRFomer-S) | #7 | AP: 31.6AP75: 20.9AR: 35.8AR50: 78.0 |
| pose-estimation-on-coco-test-dev | HRFormer-B | #17 | AP: 76.2AP50: 92.7AP75: 83.8APL: 82.3APM: 72.5AR: 81.2 |