Multi-Person Pose Estimation
Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
( Image credit: Human Pose Estimation with TensorFlow )
Papers
Showing 1–10 of 151 papers
All datasetsCrowdPoseCOCO (Common Objects in Context)COCO test-devMPII Multi-PersonOCHumanCOCO minivalPoseTrack2018PoseTrack2017WAFCOCOMulti-Person PoseTrackPoseTrack21
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | RTMO-l | mAP @0.5:0.95 | 83.8 | — | Unverified |
| 2 | BUCTD-W48 (w/cond. input from PETR, and generative sampling) | mAP @0.5:0.95 | 78.5 | — | Unverified |
| 3 | I²R-Net (1st stage: HRFormer-B) | mAP @0.5:0.95 | 77.4 | — | Unverified |
| 4 | ED-Pose (Swin-L) | mAP @0.5:0.95 | 76.6 | — | Unverified |
| 5 | DETRPose-X | mAP @0.5:0.95 | 75.1 | — | Unverified |
| 6 | DETRPose-L | mAP @0.5:0.95 | 73.3 | — | Unverified |
| 7 | HRFormer-B | mAP @0.5:0.95 | 72.4 | — | Unverified |
| 8 | BAPose (W32) | mAP @0.5:0.95 | 72.2 | — | Unverified |
| 9 | DETRPose-M | mAP @0.5:0.95 | 72 | — | Unverified |
| 10 | TransPose-H | mAP @0.5:0.95 | 71.8 | — | Unverified |