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Models/BUCTD-W48 (w/cond. input from PETR, and generative sampling)

BUCTD-W48 (w/cond. input from PETR, and generative sampling)

Reported on 19 benchmarks across 4 tasks · 1 paper · 19 SOTA

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

Computer Vision12 results

Pose EstimationonCrowdPose
AP· 2023-06-13
78.5
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
mAP @0.5:0.95· 2023-06-13
78.5
best: 83.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Multi-Person Pose EstimationonCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Multi-Person Pose EstimationonCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Multi-Person Pose EstimationonCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Multi-Person Pose EstimationonCrowdPose
mAP @0.5:0.95· 2023-06-13
78.5
best: 83.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Pose EstimationonCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879

Methodology8 results

3DonCrowdPose
AP· 2023-06-13
78.5
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
mAP @0.5:0.95· 2023-06-13
78.5
best: 83.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
3DonCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879

Audio8 results

1 Image, 2*2 StitchionCrowdPose
AP· 2023-06-13
78.5
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
mAP @0.5:0.95· 2023-06-13
78.5
best: 83.8 (RTMO-l)
SOTA
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Easy· 2023-06-13
83.9
best: 88.8 (RTMO-l)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Hard· 2023-06-13
72.3
best: 466 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
1 Image, 2*2 StitchionCrowdPose
AP Medium· 2023-06-13
79
best: 566 (DETRPose-N)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879