Image Classification on CIFAR-100 Long-Tailed Noisy IF=10 Symmetric Noise 0.6 (test)
79.2Top-1 AccuracyCLIP+LA w. CARE
Evaluation results
| Method | Links | |
|---|---|---|
| CLIP+LA w. CAREFoundation Model=CLIP2026.05 | 79.2 | |
| CLIP+CE w. CAREFoundation Model=CLIP2026.05 | 77.2 | |
| CLIP+RLA*Foundation Model=CLIP2026.05 | 77 | |
| CLIP+LAFoundation Model=CLIP2026.05 | 76 | |
| CLIP+CEFoundation Model=CLIP2026.05 | 74.5 | |
| CLIPProtocol=zero-shot2026.05 | 64.4 | |
| ECBS2026.05 | 48.1 | |
| TABASCO2026.05 | 46 | |
| UNICON2026.05 | 45.9 | |
| DivideMix2026.05 | 45 | |
| ULC2026.05 | 44.7 | |
| RoLT2026.05 | 32.6 | |
| HAR2026.05 | 26.1 | |
| IB2026.05 | 25.8 | |
| CE2026.05 | 23.6 | |
| LA2026.05 | 23.2 | |
| LDAM2026.05 | 23.1 | |
| MW-Net2026.05 | 21.7 |