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Multi Human Parsing On Mhp V10
Metrics
AP 0.5
Results
Performance results of various models on this benchmark
| 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 |
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