2D Human Pose Estimation On Ochuman
Metrics
Test AP
Validation AP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Test AP | Validation AP |
|---|---|---|
| multi-hypothesis-pose-networks-rethinking-top | 37.2 | 37.8 |
| sefd-learning-to-distill-complex-pose-and | 44.1 | - |
| associative-embedding-end-to-end-learning-for | 32.8 | 40.0 |
| simple-baselines-for-human-pose-estimation | 33.3 | 41.0 |
| multi-hypothesis-pose-networks-rethinking-top | 42.5 | 42.0 |
| pose2seg-detection-free-human-instance | 23.8 | - |
| differentiable-hierarchical-graph-grouping | 36.0 | 41.8 |
| detection-pose-estimation-and-segmentation-1 | 48.3 | 48.6 |
| associative-embedding-end-to-end-learning-for | 29.5 | 32.1 |
| simple-baselines-for-human-pose-estimation | 30.4 | 37.8 |
| rmpe-regional-multi-person-pose-estimation | 30.7 | 38.8 |