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Models/POMNet

POMNet

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision3 results

2D Pose EstimationonMP-100
Mean PCK@0.2 - 1shot· 2022-07-21
79.7
best: 92.6 (CapeLLM)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387
2D Pose EstimationonMP-100
Mean PCK@0.2 - 5shot· 2022-07-21
80.71
best: 92.21 (EdgeCape)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387
2D Pose EstimationonMP100
Mean PCK@0.2 - 1shot· 2022-07-21
79.7
best: 92.6 (CapeLLM)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387

Methodology3 results

2D ClassificationonMP-100
Mean PCK@0.2 - 1shot· 2022-07-21
79.7
best: 92.6 (CapeLLM)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387
2D ClassificationonMP-100
Mean PCK@0.2 - 5shot· 2022-07-21
80.71
best: 92.21 (EdgeCape)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387
2D ClassificationonMP100
Mean PCK@0.2 - 1shot· 2022-07-21
79.7
best: 92.6 (CapeLLM)
SOTA
Pose for Everything: Towards Category-Agnostic Pose Estimation arXiv:2207.10387