Keypoint Detection On Mpii Multi Person
評価指標
mAP@0.5
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | mAP@0.5 |
|---|---|
| associative-embedding-end-to-end-learning-for | 77.5% |
| rmpe-regional-multi-person-pose-estimation | 82.1% |
| arttrack-articulated-multi-person-tracking-in | 74.3% |
| multi-person-pose-estimation-with-local-joint | 62.2% |
| learning-to-refine-human-pose-estimation | 78% |
| single-stage-multi-person-pose-machines | 78.5% |
| realtime-multi-person-2d-pose-estimation | 75.6% |
| generative-partition-networks-for-multi | 80.4% |
| deepercut-a-deeper-stronger-and-faster-multi | 59.4% |