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Models/RMPE

RMPE

Reported on 28 benchmarks across 5 tasks · 1 paper · 2 SOTA

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

Computer Vision19 results

Multi-Person Pose EstimationonCOCO test-dev
AP75· 2016-12-01
69.8
best: 85.8 (SCIO (HRNet-48))
SOTA
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Multi-Person Pose EstimationonCOCO test-dev
APM· 2016-12-01
58.6
best: 74.1 (SCIO (HRNet-48))
SOTA
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Pose EstimationonCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Multi-Person Pose EstimationonCOCO test-dev
AP· 2016-12-01
61.8
best: 79.2 (SCIO (HRNet-48))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Multi-Person Pose EstimationonCOCO test-dev
AP50· 2016-12-01
83.7
best: 93.5 (SCIO (HRNet-48))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
Multi-Person Pose EstimationonCOCO test-dev
APL· 2016-12-01
67.6
best: 84.2 (SCIO (HRNet-48))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137

Methodology14 results

3DonOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
3DonCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137

Audio14 results

1 Image, 2*2 StitchionOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionOCHuman
Test AP· 2016-12-01
30.7
best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionOCHuman
Validation AP· 2016-12-01
38.8
best: 92.8 (ViTPose (ViTAE-G, GT bounding boxes))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP· 2016-12-01
61.8
best: 81.1 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2016-12-01
83.7
best: 95 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2016-12-01
69.8
best: 88.2 (ViTPose (ViTAE-G, ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
APL· 2016-12-01
67.6
best: 86.5 (PoseBH-H)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
1 Image, 2*2 StitchionCOCO test-dev
APM· 2016-12-01
58.6
best: 83.8 (4xRSN-50 (ensemble))
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137

Knowledge Base2 results

2D Human Pose EstimationonOCHuman
Test AP· 2016-12-01
30.7
best: 48.3 (BBox-Mask-Pose 2x)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137
2D Human Pose EstimationonOCHuman
Validation AP· 2016-12-01
38.8
best: 48.6 (BBox-Mask-Pose 2x)
RMPE: Regional Multi-person Pose Estimation arXiv:1612.00137