Image Classification on CIFAR-100 (test) (Standard and Robust Accuracy)
75.22Standard AccuracyWang et al.
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Wang et al.Classifier=WideResNet-70-16, Extra data=false2023.12 | 75.22 | 42.67 | |
| Wang et al.Classifier=WideResNet-28-10, Extra data=false2023.12 | 72.58 | 38.83 | |
| Debenedetti et al.Classifier=XCIT-L12, Extra data=true2023.12 | 70.76 | 35.08 | |
| Debenedetti et al.Classifier=XCIT-M12, Extra data=true2023.12 | 69.21 | 34.21 | |
| Gowal et al.Classifier=WideResNet-70-16, Extra data=true2023.12 | 69.15 | 36.88 | |
| Pang et al.Classifier=WideResNet-70-16, Extra data=false2023.12 | 65.56 | 33.05 | |
| Pang et al.Classifier=WideResNet-28-10, Extra data=false2023.12 | 63.66 | 31.08 | |
| Rebuffi et al.Classifier=WideResNet-70-16, Extra data=false2023.12 | 63.56 | 34.64 | |
| Rebuffi et al.Classifier=WideResNet-28-10, Extra data=false2023.12 | 62.41 | 32.06 |