Image Classification on CIFAR-10 (Clean and L-inf Robust Accuracy)
93.55Accuracy (Clean)ConvNeXt-B + ConvStem
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ConvNeXt-B + ConvStemArchitecture=CN-B + CvSt, Resolution=32x32, Perturbation radius (epsilon)=8/255, Fine-tuning protocol=fine-tuning from eps=4/255 for 25 epochs2023.03 | 93.55 | 58.17 | |
| ConvNeXt-T + ConvStemArchitecture=CN-T + CvSt, Resolution=32x32, Perturbation radius (epsilon)=8/255, Fine-tuning protocol=fine-tuning from eps=4/255 for 25 epochs2023.03 | 92.72 | 55.97 | |
| XCIT-LArchitecture=XCIT-L, Resolution=32x32, Perturbation radius (epsilon)=8/255, Fine-tuning protocol=fine-tuning from eps=8/2552023.03 | 91.73 | 57.58 | |
| XCIT-SArchitecture=XCIT-S, Resolution=32x32, Perturbation radius (epsilon)=8/255, Fine-tuning protocol=fine-tuning from eps=8/2552023.03 | 90.06 | 56.14 |