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Models/OccNet

OccNet

Reported on 19 benchmarks across 6 tasks · 2 papers · 4 SOTA

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

Computer Vision10 results

Pose EstimationonCrowdPose
AP Medium· 2019-07-16
66.6
best: 566 (DETRPose-N)
SOTA
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Multi-Person Pose EstimationonCrowdPose
AP Medium· 2019-07-16
66.6
best: 566 (DETRPose-N)
SOTA
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Pose EstimationonCrowdPose
AP Easy· 2019-07-16
75.2
best: 88.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Pose EstimationonCrowdPose
AP Hard· 2019-07-16
53.1
best: 466 (DETRPose-N)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Pose EstimationonCrowdPose
mAP @0.5:0.95· 2019-07-16
65.5
best: 83.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Multi-Person Pose EstimationonCrowdPose
AP Easy· 2019-07-16
75.2
best: 88.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Multi-Person Pose EstimationonCrowdPose
AP Hard· 2019-07-16
53.1
best: 466 (DETRPose-N)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
Multi-Person Pose EstimationonCrowdPose
mAP @0.5:0.95· 2019-07-16
65.5
best: 83.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
ReconstructiononShapeNetCore
3DIoU· 2019-05-26
0.564
best: 3 (AtlasNet)
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction arXiv:1905.10711
Single-View 3D ReconstructiononShapeNetCore
3DIoU· 2019-05-26
0.564
best: 3 (AtlasNet)
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction arXiv:1905.10711

Methodology5 results

3DonCrowdPose
AP Medium· 2019-07-16
66.6
best: 566 (DETRPose-N)
SOTA
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
3DonCrowdPose
AP Easy· 2019-07-16
75.2
best: 88.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
3DonCrowdPose
AP Hard· 2019-07-16
53.1
best: 466 (DETRPose-N)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
3DonCrowdPose
mAP @0.5:0.95· 2019-07-16
65.5
best: 83.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
3DonShapeNetCore
3DIoU· 2019-05-26
0.564
best: 3 (AtlasNet)
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction arXiv:1905.10711

Audio4 results

1 Image, 2*2 StitchionCrowdPose
AP Medium· 2019-07-16
66.6
best: 566 (DETRPose-N)
SOTA
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
1 Image, 2*2 StitchionCrowdPose
AP Easy· 2019-07-16
75.2
best: 88.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
1 Image, 2*2 StitchionCrowdPose
AP Hard· 2019-07-16
53.1
best: 466 (DETRPose-N)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922
1 Image, 2*2 StitchionCrowdPose
mAP @0.5:0.95· 2019-07-16
65.5
best: 83.8 (RTMO-l)
Human Pose Estimation for Real-World Crowded Scenarios arXiv:1907.06922