Partial-label learning on Flowers rand (test)
93.2AccuracyHopS
Evaluation results
| Method | Links | |
|---|---|---|
| HopSgamma_c=0.80, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 93.2 | |
| HopSgamma_c=0.67, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 92.9 | |
| HopSgamma_c=0.75, Backbone=ResNet-50, Training Setting=16-shot few-shot2026.04 | 92.9 | |
| CroSelgamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 92.1 | |
| CroSelgamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 90.5 | |
| CroSelgamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 89 | |
| Papigamma_c=0.67, Backbone=ResNet-50, Training Setting=full-data2026.04 | 78.7 | |
| Papigamma_c=0.75, Backbone=ResNet-50, Training Setting=full-data2026.04 | 70.4 | |
| Papigamma_c=0.80, Backbone=ResNet-50, Training Setting=full-data2026.04 | 57.8 |