Image Classification on CIFAR-10 20% asymmetric noise
95.4AccuracySANM(DivideMix)
Evaluation results
| Method | Links | |
|---|---|---|
| SANM(DivideMix)Noisy ratio=20%2023.02 | 95.4 | |
| Sel-CL+Noisy ratio=20%2023.02 | 95.2 | |
| REEDNoisy ratio=20%2023.02 | 95 | |
| C2DNoisy ratio=20%2023.02 | 93.8 | |
| DivideMixNoisy ratio=20%2023.02 | 93.4 | |
| Joint-OptimNoisy ratio=20%2023.02 | 92.8 | |
| DistillingNoisy ratio=20%2023.02 | 92.7 | |
| PENCILNoisy ratio=20%2023.02 | 92.4 | |
| F-correctionNoisy ratio=20%2023.02 | 89.9 | |
| Meta-LearningNoisy ratio=20%2023.02 | 88.6 | |
| Iterative-CVNoisy ratio=20%2023.02 | 88 | |
| GCENoisy ratio=20%2023.02 | 87.3 | |
| M-correctionNoisy ratio=20%2023.02 | 86.3 |