Image Classification on Pets (Zero-Shot Accuracy, CovGap, MCCC)
0.08CovGapL-TOPK
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| L-TOPKBackbone=RN101, Alpha=0.12026.06 | 0.08 | — | 0.13 | |
| L-LACBackbone=RN101, Alpha=0.12026.06 | 0.08 | — | 0.15 | |
| TOPKBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.11 | |
| LACBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.04 | |
| L-LAC (naive)Backbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.03 | |
| APSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.64 | |
| L-APS (naive)Backbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.62 | |
| L-APSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.68 | |
| RAPSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.37 | |
| L-RAPS (naive)Backbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.37 | |
| L-RAPSBackbone=RN101, Alpha=0.12026.06 | 0.09 | — | 0.38 | |
| L-TOPK (naive)Backbone=RN101, Alpha=0.12026.06 | 0.12 | — | 0.03 | |
| Zero-Shot BaselineBackbone=RN1012026.06 | — | 86.9 | — |