Image Classification on CIFAR-10 (L-inf, epsilon=8/255, v1.0, test)
95.18Standard AccuracyScoreOpt
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ScoreOptType=AP, Architecture=WideResNet-70-162023.07 | 95.18 | 71.48 | |
| ScoreOptType=AP, Architecture=WideResNet-28-102023.07 | 95.02 | 67.68 | |
| Wang et al.Type=AT, Architecture=WideResNet-70-162023.07 | 92.97 | 72.46 | |
| Nie et al.Type=AP, Architecture=WideResNet-70-162023.07 | 90.43 | 57.03 | |
| Nie et al.Type=AP, Architecture=WideResNet-28-102023.07 | 90.07 | 51.25 | |
| Gowal et al.Type=AT, Architecture=WideResNet-70-162023.07 | 88.75 | 69.03 | |
| Pang et al.Type=AT, Architecture=WideResNet-28-102023.07 | 88.62 | 64.95 | |
| Gowal et al.Type=AT, Architecture=WideResNet-28-102023.07 | 88.54 | 65.1 | |
| Gowal et al.Type=AT, Architecture=WideResNet-28-102023.07 | 87.51 | 66.01 | |
| Yoon et al.Type=AP, Architecture=WideResNet-70-162023.07 | 86.76 | 41.02 | |
| Yoon et al.Type=AP, Architecture=WideResNet-28-102023.07 | 85.66 | 37.27 |