Image Classification on CIFAR-10 adv
4.9Overall Error RateDenseNet
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| DenseNetTraining Method=AugMix2025.09 | 4.9 | 17.7 | 18.4 | 16.15 | 13.66 | 44.82 | 23.84 | 22.43 | |
| WideResNetTraining Method=AugMix2025.09 | 4.9 | 16.52 | 18.67 | 14.74 | 13.41 | 35.86 | 22.27 | 20.14 | |
| DenseNetTraining Method=REVa2025.09 | 5.05 | 8.9 | 11.2 | 8.06 | 8.1 | 18.04 | 11.08 | 10.9 | |
| WideResNetTraining Method=REVa2025.09 | 5.16 | 8.67 | 11.8 | 8.09 | 8.07 | 15.43 | 11.31 | 10.56 | |
| WideResNetTraining Method=Std2025.09 | 5.2 | 52.29 | 45.65 | 56.08 | 38.54 | 86.79 | 56.74 | 56.02 | |
| DenseNetTraining Method=Std2025.09 | 5.8 | 51.36 | 47.35 | 57.21 | 36.77 | 78.88 | 56.74 | 54.72 | |
| AllConvNetTraining Method=Std2025.09 | 6.1 | 43.64 | 48.16 | 55.27 | 33.75 | 86.15 | 51.35 | 53.07 | |
| AllConvNetTraining Method=REVa2025.09 | 6.31 | 8.67 | 10.94 | 8.28 | 8.03 | 26.11 | 10.89 | 12.15 | |
| AllConvNetTraining Method=AugMix2025.09 | 6.5 | 18.4 | 20.63 | 18.41 | 15.61 | 46.86 | 24.54 | 24.08 |