Image Classification on CIFAR-100-LTN Asymmetric Noise IF=10, NR=40% (test)
70.5AccuracyCLIP+CARE
Evaluation Results
| Method | Links | |
|---|---|---|
| CLIP+CAREBackbone=CLIP, Noise type=Asymmetric, Imbalance Factor (IF)=10, Noise Rate (NR)=40%2026.05 | 70.5 | |
| CLIP+LA w. CAREFoundation Model=CLIP2026.05 | 70.5 | |
| CLIP+IBCBackbone=CLIP, Noise type=Asymmetric, Imbalance Factor (IF)=10, Noise Rate (NR)=40%2026.05 | 70.2 | |
| CLIP+RLA*Foundation Model=CLIP2026.05 | 69.3 | |
| CLIP+LAFoundation Model=CLIP2026.05 | 68.2 | |
| CLIP+CE w. CAREFoundation Model=CLIP2026.05 | 67.5 | |
| CLIPProtocol=zero-shot2026.05 | 64.4 | |
| CLIP+CEFoundation Model=CLIP2026.05 | 64.4 | |
| ECBS2026.05 | 52.1 | |
| TABASCO2026.05 | 50.5 | |
| UNICON2026.05 | 44.7 | |
| ULC2026.05 | 43.2 | |
| DivideMix2026.05 | 42 | |
| RoLT2026.05 | 39.3 | |
| IB2026.05 | 35.3 | |
| LDAM2026.05 | 33.3 | |
| HAR2026.05 | 33.2 | |
| CE2026.05 | 32.1 | |
| MW-Net2026.05 | 30.4 | |
| LA2026.05 | 28.5 |