Multi Person Pose Estimation On Coco
Metriken
AP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AP |
|---|---|
| distribution-aware-coordinate-representation | 0.774 |
| towards-accurate-multi-person-pose-estimation | 0.649 |
| unipose-detecting-any-keypoints | 0.768 |
| posefix-model-agnostic-general-human-pose | - |
| attend-to-who-you-are-supervising-self-1 | 0.665 |
| learning-delicate-local-representations-for | 0.792 |
| towards-accurate-multi-person-pose-estimation | 0.685 |
| the-center-of-attention-center-keypoint-1 | 0.714 |
| lite-pose-efficient-architecture-design-for | - |
| openpifpaf-composite-fields-for-semantic | 0.709 |
| multiposenet-fast-multi-person-pose | 0.697 |
| evopose2d-pushing-the-boundaries-of-2d-human | - |
| associative-embedding-end-to-end-learning-for | 0.655 |
| cascaded-pyramid-network-for-multi-person | 0.730 |
| bapose-bottom-up-pose-estimation-with | 0.727 |