Multi Human Parsing On Pascal Person Part
Metrics
AP 0.5
Results
Performance results of various models on this benchmark
Model Name | AP 0.5 | Paper Title | Repository |
|---|---|---|---|
| Holistic instance-level | 40.60% | Holistic, Instance-Level Human Parsing | |
| NAN | 59.70% | Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing | |
| MNC | 38.80% | Instance-aware Semantic Segmentation via Multi-task Network Cascades |
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