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Models/ViTPose+-H

ViTPose+-H

Reported on 9 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Knowledge Base5 results

2D Human Pose EstimationonCOCO-WholeBody
body· uses extra data· 2022-12-07
75.9
best: 76.9 (PCNet)
SOTA
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246
2D Human Pose EstimationonCOCO-WholeBody
WB· uses extra data· 2022-12-07
61.2
best: 70.2 (RTMW-x)
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246
2D Human Pose EstimationonCOCO-WholeBody
face· uses extra data· 2022-12-07
63.3
best: 89.7 (PCNet)
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246
2D Human Pose EstimationonCOCO-WholeBody
foot· uses extra data· 2022-12-07
77.9
best: 79.8 (ZoomNet (V0.5 data))
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246
2D Human Pose EstimationonCOCO-WholeBody
hand· uses extra data· 2022-12-07
54.7
best: 66.4 (RTMW-x)
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246

Computer Vision2 results

Pose EstimationonAP-10K
AP· uses extra data· 2022-12-07
82.4
SOTA
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246
Animal Pose EstimationonAP-10K
AP· uses extra data· 2022-12-07
82.4
SOTA
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246

Methodology1 result

3DonAP-10K
AP· uses extra data· 2022-12-07
82.4
SOTA
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246

Audio1 result

1 Image, 2*2 StitchionAP-10K
AP· uses extra data· 2022-12-07
82.4
SOTA
ViTPose++: Vision Transformer for Generic Body Pose Estimation arXiv:2212.04246