Multi Human Parsing On Mhp V10
Metrics
AP 0.5
Results
Performance results of various models on this benchmark
Model Name | AP 0.5 | Paper Title | Repository |
|---|---|---|---|
| NAN | 57.09% | Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing | - |
| Mask R-CNN | 52.68% | Mask R-CNN | - |
| MH-Parser | 50.10% | Multiple-Human Parsing in the Wild | - |
| DL | 47.76% | Semantic Instance Segmentation with a Discriminative Loss Function | - |
0 of 4 row(s) selected.