Deep High-Resolution Representation Learning for Human Pose Estimation

Benchmark Model Rank Results
2d-human-pose-estimation-on-coco-wholebody-1HRNet-w32 (V1.0 data)#32WB: 58.6body: 70.1foot: 58.6face: 72.7hand: 51.6
2d-human-pose-estimation-on-coco-wholebody-1HRNet (V0.5 data)#41WB: 43.2body: 65.9foot: 31.4face: 52.3hand: 30.0
2d-human-pose-estimation-on-human-artHRNet-w48#5AP: 0.417AP (gt bbox): 0.769
2d-human-pose-estimation-on-human-artHRNet-w32#7AP: 0.399AP (gt bbox): 0.754
human-pose-keypoint-estimation-on-coco-test-devHRNet-W48 + extra data#16AP: 77.0AP50: 92.7AP75: 84.5AR: 82.0
human-pose-keypoint-estimation-on-coco-test-devHRNet-W48#33AP: 75.5AP50: 92.5AP75: 83.3AR: 80.5
human-pose-keypoint-estimation-on-coco-val2017HRNet-48(384x288)#40AP: 76.3
human-pose-keypoint-estimation-on-coco-val2017HRNet-W32 (384x288)#44AP: 75.8
human-pose-keypoint-estimation-on-coco-val2017HRNet (256x192)#52AP: 75.3
instance-segmentation-on-coco-minivalHTC (HRNetV2p-W48)#65mask AP: 41.0
pose-estimation-on-aicHRNet (HRNet-w48 )#5AP: 33.5AP75: 23.6AR: 37.9AR50: 80.0AP50: 78.0
pose-estimation-on-aicHRNet (HRNet-w32)#6AP: 32.3AP75: 21.9AR: 36.6AR50: 78.9AP50: 76.2
pose-estimation-on-mpii-human-poseHRNet-W32#9PCKh-0.5: 92.3
pose-tracking-on-posetrack2017HRNet-W48 COCO#2MOTA: 57.93mAP: 74.95