Image Classification on StanfordCars (Accuracy, CovGap, MCCC)
9CovGapAPS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| APSBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 19 | |
| L-APS (naive)Backbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 21 | |
| L-APSBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 19 | |
| RAPSBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 12 | |
| L-RAPS (naive)Backbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 12 | |
| L-RAPSBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 9 | — | 11 | |
| TOPKBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 8 | |
| L-TOPK (naive)Backbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 8 | |
| L-TOPKBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 8 | |
| LACBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 8 | |
| L-LAC (naive)Backbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 9 | |
| L-LACBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | 10 | — | 8 | |
| Zero-Shot AccuracyBackbone=RN50, Alpha=0.1, Number of folds=102026.06 | — | 55.8 | — |