Partial Label Learning on CUB-200
72.17AccuracyPiCO
Evaluation results
| Method | Links | |
|---|---|---|
| PiCOPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 72.17 | |
| ILLPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 70.77 | |
| PRODENPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 62.56 | |
| CCPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 55.61 | |
| LWSPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 39.74 | |
| MSEPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 22.07 | |
| EXPPartial Ratio q=0.05, Backbone=ResNet-182023.05 | 9.44 |