Multi Human Parsing On Mhp V20
Metrics
AP 0.5
Results
Performance results of various models on this benchmark
Model Name | AP 0.5 | Paper Title | Repository |
---|---|---|---|
UniParser | 51.2 | UniParser: Multi-Human Parsing with Unified Correlation Representation Learning | |
NAN | 25.14% | Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing | |
Mask R-CNN | 14.9 | Mask R-CNN | |
MH-Parser | 17.99% | Multiple-Human Parsing in the Wild | |
SMP | 47.1 | Single-stage Multi-human Parsing via Point Sets and Center-based Offsets |
0 of 5 row(s) selected.