Multi Person Pose Estimation On Waf
평가 지표
AOP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AOP | Paper Title | Repository |
|---|---|---|---|
| DeeperCut | 88.1% | DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model | |
| Generative Partition Networks | - | Generative Partition Networks for Multi-Person Pose Estimation | |
| DeepCut | 86.5% | DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation |
0 of 3 row(s) selected.