Image Classification on SVHN (test) (Corruption and Adversarial Robustness)
94.11Clean AccuracyGeneralist
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| GeneralistBackbone=ResNet-18, Maximum perturbation (ε)=8/2552023.03 | 94.11 | — | — | — | — | — | 55.29 | 45.41 | |
| FATBackbone=ResNet-18, Maximum perturbation (ε)=8/2552023.03 | 93.87 | — | — | — | — | — | 53.61 | 40.92 | |
| TRADESBackbone=ResNet-18, Maximum perturbation (ε)=8/2552023.03 | 93.1 | — | — | — | — | — | 55.38 | 45.52 |