Keypoint Detection On Coco Test Dev
평가 지표
AP
APL
APM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | AP | APL | APM |
|---|---|---|---|
| openpifpaf-composite-fields-for-semantic | 70.9 | 76.8 | 67.1 |
| towards-accurate-multi-person-pose-estimation | - | 70.0 | 62.3 |
| simple-baselines-for-human-pose-estimation | - | 80.0 | 70.3 |
| cascaded-pyramid-network-for-multi-person | - | 77.2 | 68.7 |
| deep-high-resolution-representation-learning | - | 81.5 | 71.9 |
| mask-r-cnn | - | 71.4 | 57.8 |
| rmpe-regional-multi-person-pose-estimation | - | 81.5 | - |
| simple-pose-rethinking-and-improving-a-bottom | 68.1 | 70.5 | 66.8 |
| directpose-direct-end-to-end-multi-person | 64.8 | 71.5 | 60.4 |
| simple-baselines-for-human-pose-estimation | - | 82.7 | 73.0 |
| cascaded-pyramid-network-for-multi-person | - | 78.1 | 69.5 |
| rethinking-on-multi-stage-networks-for-human | 76.1 | 81.5 | 72.3 |
| realtime-multi-person-2d-pose-estimation | - | 68.2 | 57.1 |
| deep-high-resolution-representation-learning | - | 83.1 | 73.4 |
| associative-embedding-end-to-end-learning-for | - | 72.6 | 60.6 |
| pifpaf-composite-fields-for-human-pose | 66.4 | 72.1 | 62.6 |