Image Classification on StanfordCars (Zero-Shot Accuracy, CovGap, MCCC)
0.09CovGapL-TOPK
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| L-TOPKBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| APSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| L-APS (naive)Backbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| L-APSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| RAPSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| L-RAPS (naive)Backbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| L-RAPSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0 | |
| L-APSBackbone=ViT-L/14, alpha=0.12026.06 | 0.09 | — | 0.43 | |
| TOPKBackbone=RN101, Alpha=0.12026.06 | 0.1 | — | 0 | |
| L-TOPK (naive)Backbone=RN101, Alpha=0.12026.06 | 0.1 | — | 0 | |
| LACBackbone=RN101, Alpha=0.12026.06 | 0.1 | — | 0 | |
| L-LAC (naive)Backbone=RN101, Alpha=0.12026.06 | 0.1 | — | 0 | |
| L-LACBackbone=RN101, Alpha=0.12026.06 | 0.1 | — | 0.01 | |
| Zero-Shot AccuracyBackbone=ViT-L/142026.06 | — | 76.9 | — | |
| Zero-Shot BaselineBackbone=RN1012026.06 | — | 63.2 | — |