Image Classification on CIFAR-100 LTN (IF=10, Asymmetric Noise 0.2) (test)
80.8Top-1 AccuracyCLIP+LA w. CARE
Evaluation Results
| Method | Links | |
|---|---|---|
| CLIP+LA w. CAREFoundation Model=CLIP2026.05 | 80.8 | |
| CLIP+RLA*Foundation Model=CLIP2026.05 | 80.6 | |
| CLIP+CE w. CAREFoundation Model=CLIP2026.05 | 80.3 | |
| CLIP+LAFoundation Model=CLIP2026.05 | 80.1 | |
| CLIP+CEFoundation Model=CLIP2026.05 | 79.3 | |
| CLIPProtocol=zero-shot2026.05 | 64.4 | |
| ECBS2026.05 | 60.5 | |
| TABASCO2026.05 | 59.4 | |
| DivideMix2026.05 | 58.1 | |
| UNICON2026.05 | 56 | |
| ULC2026.05 | 54.5 | |
| HAR2026.05 | 48.5 | |
| RoLT2026.05 | 48.2 | |
| IB2026.05 | 45 | |
| CE2026.05 | 44.5 | |
| MW-Net2026.05 | 42.5 | |
| LDAM2026.05 | 40.1 | |
| LA2026.05 | 39.3 |