Image Classification on CIFAR-10 (test) (Symmetric & Asymmetric Noise Robustness)
96.6Accuracy (Symmetric 0.2)CMW-Net-SL+
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CMW-Net-SL+2022.02 | 96.6 | 96.2 | 95.4 | 93.7 | 96 | |
| AugDesc2022.02 | 96.2 | 95.1 | 93.6 | 91.8 | 94.3 | |
| C2D2022.02 | 96.2 | 95.1 | 94.3 | 93.4 | 90.8 | |
| Two-step2022.02 | 96.2 | 95.3 | 93.7 | 92.7 | 92.4 | |
| CMW-Net-SL2022.02 | 96.2 | 95.1 | 92.1 | 48 | 94.5 | |
| DivideMix2022.02 | 95.7 | 94.4 | 92.9 | 75.4 | 92.1 | |
| REED2022.02 | 95.7 | 95.4 | 94.1 | 93.5 | — | |
| ELR+2022.02 | 94.6 | 93.8 | 93.1 | 75.2 | 92.7 |