Image Classification on CIFAR-100 resized to 224x224 (test)
88.4AccuracyBEiT large
Evaluation Results
| Method | Links | |
|---|---|---|
| BEiT largeepsilon (ε)=8, pretrained_dataset=ImageNet21k, parameters=303M, clipping_method=mixed ghost clipping2022.05 | 88.4 | |
| BEiT largeepsilon (ε)=4, pretrained_dataset=ImageNet21k, parameters=303M, clipping_method=mixed ghost clipping2022.05 | 87.7 | |
| BEiT largeepsilon (ε)=2, pretrained_dataset=ImageNet21k, parameters=303M, clipping_method=mixed ghost clipping2022.05 | 86.2 | |
| BEiT largeepsilon (ε)=1, pretrained_dataset=ImageNet21k, parameters=303M, clipping_method=mixed ghost clipping2022.05 | 83 | |
| De et al.epsilon (ε)=8, pretrained_dataset=ImageNet1k2022.05 | 81.8 | |
| De et al.epsilon (ε)=4, pretrained_dataset=ImageNet1k2022.05 | 79.2 | |
| CrossViT baseepsilon (ε)=8, pretrained_dataset=ImageNet1k, parameters=104M, clipping_method=mixed ghost clipping2022.05 | 77.8 | |
| CrossViT baseepsilon (ε)=4, pretrained_dataset=ImageNet1k, parameters=104M, clipping_method=mixed ghost clipping2022.05 | 76.7 | |
| De et al.epsilon (ε)=2, pretrained_dataset=ImageNet1k2022.05 | 74.7 | |
| CrossViT baseepsilon (ε)=2, pretrained_dataset=ImageNet1k, parameters=104M, clipping_method=mixed ghost clipping2022.05 | 74.3 | |
| CrossViT baseepsilon (ε)=1, pretrained_dataset=ImageNet1k, parameters=104M, clipping_method=mixed ghost clipping2022.05 | 71.9 | |
| De et al.epsilon (ε)=1, pretrained_dataset=ImageNet1k2022.05 | 67.4 |