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Models/G-RMI

G-RMI

Reported on 39 benchmarks across 4 tasks · 1 paper · 5 SOTA

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

Computer Vision26 results

Multi-Person Pose EstimationonCOCO test-dev
AP· 2017-01-06
64.9
best: 79.2 (SCIO (HRNet-48))
SOTA
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Multi-Person Pose EstimationonCOCO test-dev
AP50· 2017-01-06
85.5
best: 93.5 (SCIO (HRNet-48))
SOTA
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Multi-Person Pose EstimationonCOCO test-dev
AP75· 2017-01-06
71.3
best: 85.8 (SCIO (HRNet-48))
SOTA
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Multi-Person Pose EstimationonCOCO test-dev
APL· 2017-01-06
70
best: 84.2 (SCIO (HRNet-48))
SOTA
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Multi-Person Pose EstimationonCOCO test-dev
APM· 2017-01-06
62.3
best: 74.1 (SCIO (HRNet-48))
SOTA
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AR50· 2017-01-06
88.7
best: 96.3 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AR75· 2017-01-06
75.5
best: 88.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
ARL· 2017-01-06
77.1
best: 87.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
ARM· 2017-01-06
64.4
best: 77.5 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Pose EstimationonCOCO (Common Objects in Context)
AP· 2017-01-06
0.649
best: 79.5 (OmniPose (WASPv2))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
Multi-Person Pose EstimationonCOCO (Common Objects in Context)
AP· 2017-01-06
0.649
best: 0.792 (RSN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779

Methodology20 results

3DonCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AR50· 2017-01-06
88.7
best: 96.3 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AR75· 2017-01-06
75.5
best: 88.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
ARL· 2017-01-06
77.1
best: 87.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
ARM· 2017-01-06
64.4
best: 77.5 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
3DonCOCO (Common Objects in Context)
AP· 2017-01-06
0.649
best: 79.5 (OmniPose (WASPv2))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779

Audio20 results

1 Image, 2*2 StitchionCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AR· 2017-01-06
69.7
best: 88.2 (Simple Pose)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AR50· 2017-01-06
88.7
best: 96.3 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AR75· 2017-01-06
75.5
best: 88.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
ARL· 2017-01-06
77.1
best: 87.2 (Simple Base+*)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
ARM· 2017-01-06
64.4
best: 77.5 (MSPN)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP· 2017-01-06
64.9
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP50· 2017-01-06
85.5
best: 95 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
AP75· 2017-01-06
71.3
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
APL· 2017-01-06
70
best: 86.5 (PoseBH-H)
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO test-dev
APM· 2017-01-06
62.3
best: 83.8 (4xRSN-50 (ensemble))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779
1 Image, 2*2 StitchionCOCO (Common Objects in Context)
AP· 2017-01-06
0.649
best: 79.5 (OmniPose (WASPv2))
Towards Accurate Multi-person Pose Estimation in the Wild arXiv:1701.01779