Pose Estimation
Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )
Papers
Showing 1–10 of 4228 papers
All datasetsCOCO test-devMPII Human PoseOCHumanLeeds Sports PosesCrowdPoseCOCO val2017AICCOCO (Common Objects in Context)InLocITOP front-viewJ-HMDBMPII Single Person
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ViTPose (ViTAE-G, GT bounding boxes) | Test AP | 93.3 | — | Unverified |
| 2 | UniHCP (direct eval) | Test AP | 87.4 | — | Unverified |
| 3 | PoseBH-H | Test AP | 87 | — | Unverified |
| 4 | RTMPose(RTMPose-l, GT bounding boxes) | Test AP | 80.3 | — | Unverified |
| 5 | TransPose-H | Validation AP | 62.3 | — | Unverified |
| 6 | BBox-Mask-Pose 2x | Test AP | 48.3 | — | Unverified |
| 7 | BUCTD (CID-W32) | Test AP | 47.2 | — | Unverified |
| 8 | HQNet (ViT-L) | Test AP | 45.6 | — | Unverified |
| 9 | CID (HRNet-W48) | Test AP | 45 | — | Unverified |
| 10 | MaskPose-b | Test AP | 45 | — | Unverified |