Classification on Pets (Accuracy, CovGap, MCCC)
0.08CovGapTOPK
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TOPKBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.47 | |
| L-TOPK (naive)Backbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.47 | |
| L-TOPKBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.47 | |
| L-LACBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.32 | |
| RAPSBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.88 | |
| L-RAPS (naive)Backbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.88 | |
| L-RAPSBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.08 | — | 0.88 | |
| LACBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.09 | — | 0.24 | |
| L-LAC (naive)Backbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.09 | — | 0.28 | |
| APSBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.09 | — | 0.92 | |
| L-APS (naive)Backbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.09 | — | 0.92 | |
| L-APSBackbone=ViT-L/14, Alpha=0.1, Folds=102026.06 | 0.09 | — | 0.92 | |
| Zero-Shot AccuracyBackbone=ViT-L/142026.06 | — | 93.5 | — |