Partial-label learning on Caltech rand (test)
89.5AccuracyHopS
Evaluation results
| Method | Links | |
|---|---|---|
| HopSgamma_c=0.80, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 89.5 | |
| HopSgamma_c=0.67, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 89 | |
| HopSgamma_c=0.75, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 89 | |
| CroSelgamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 84 | |
| CroSelgamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 82.7 | |
| CroSelgamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 73.9 | |
| Papigamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 55.9 | |
| Papigamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 52.2 | |
| Papigamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 51.8 |