Keypoint Detection On Mpii Multi Person
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | [email protected] |
|---|---|
| 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% |