ROMP+CAR

Reported on 4 benchmarks across 4 tasks · 1 paper

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

Computer Vision2 results

Pose EstimationonCrowdPose
mAP @0.5:0.95· 2020-08-27
58.6
best: 83.8 (RTMO-l)
Monocular, One-stage, Regression of Multiple 3D People arXiv:2008.12272
Multi-Person Pose EstimationonCrowdPose
mAP @0.5:0.95· 2020-08-27
58.6
best: 83.8 (RTMO-l)
Monocular, One-stage, Regression of Multiple 3D People arXiv:2008.12272

Methodology1 result

3DonCrowdPose
mAP @0.5:0.95· 2020-08-27
58.6
best: 83.8 (RTMO-l)
Monocular, One-stage, Regression of Multiple 3D People arXiv:2008.12272

Audio1 result

1 Image, 2*2 StitchionCrowdPose
mAP @0.5:0.95· 2020-08-27
58.6
best: 83.8 (RTMO-l)
Monocular, One-stage, Regression of Multiple 3D People arXiv:2008.12272