Partial-label learning on Caltech insd (test)
50.3AccuracyHopS
Evaluation results
| Method | Links | |
|---|---|---|
| HopSgamma_c=0.67, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 50.3 | |
| HopSgamma_c=0.75, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 45.3 | |
| Papigamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 42 | |
| CroSelgamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 39 | |
| HopSgamma_c=0.80, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 38.9 | |
| CroSelgamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 25.2 | |
| Papigamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 23.5 | |
| Papigamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 13.4 | |
| CroSelgamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 11.8 |