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Models/HigherHRNet(HR-Net-48)

HigherHRNet(HR-Net-48)

Reported on 16 benchmarks across 4 tasks · 1 paper · 16 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

Pose EstimationonCrowdPose
AP Easy· uses extra data· 2019-08-27
75.8
best: 88.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Pose EstimationonCrowdPose
AP Hard· uses extra data· 2019-08-27
58.9
best: 466 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Pose EstimationonCrowdPose
AP Medium· uses extra data· 2019-08-27
68.1
best: 566 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Pose EstimationonCrowdPose
mAP @0.5:0.95· uses extra data· 2019-08-27
67.6
best: 83.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Multi-Person Pose EstimationonCrowdPose
AP Easy· uses extra data· 2019-08-27
75.8
best: 88.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Multi-Person Pose EstimationonCrowdPose
AP Hard· uses extra data· 2019-08-27
58.9
best: 466 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Multi-Person Pose EstimationonCrowdPose
AP Medium· uses extra data· 2019-08-27
68.1
best: 566 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
Multi-Person Pose EstimationonCrowdPose
mAP @0.5:0.95· uses extra data· 2019-08-27
67.6
best: 83.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357

Methodology4 results

3DonCrowdPose
AP Easy· uses extra data· 2019-08-27
75.8
best: 88.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
3DonCrowdPose
AP Hard· uses extra data· 2019-08-27
58.9
best: 466 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
3DonCrowdPose
AP Medium· uses extra data· 2019-08-27
68.1
best: 566 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
3DonCrowdPose
mAP @0.5:0.95· uses extra data· 2019-08-27
67.6
best: 83.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357

Audio4 results

1 Image, 2*2 StitchionCrowdPose
AP Easy· uses extra data· 2019-08-27
75.8
best: 88.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
1 Image, 2*2 StitchionCrowdPose
AP Hard· uses extra data· 2019-08-27
58.9
best: 466 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
1 Image, 2*2 StitchionCrowdPose
AP Medium· uses extra data· 2019-08-27
68.1
best: 566 (DETRPose-N)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357
1 Image, 2*2 StitchionCrowdPose
mAP @0.5:0.95· uses extra data· 2019-08-27
67.6
best: 83.8 (RTMO-l)
SOTA
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation arXiv:1908.10357