Image Classification on ImageNet (Accuracy [%], Delta)
82.4AccuracyDeiT-L + ForAug
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DeiT-L + ForAugModel=DeiT-L, Augmentation Strategy=RandAugment, ForAug=true2025.03 | 82.4 | 3.1 | |
| DeiT-BModel=DeiT-B, Augmentation Strategy=RandAugment, ForAug=false2025.03 | 81.9 | — | |
| DeiT-B + ForAugModel=DeiT-B, Augmentation Strategy=RandAugment, ForAug=true2025.03 | 81.9 | 0 | |
| ViT-S + ForAugModel=ViT-S, Augmentation Strategy=3-augment, ForAug=true2025.03 | 81.4 | 2.3 | |
| ViT-B + ForAugModel=ViT-B, Augmentation Strategy=3-augment, ForAug=true2025.03 | 81.1 | 3.5 | |
| Swin-S + ForAugModel=Swin-S, Augmentation Strategy=3-augment, ForAug=true2025.03 | 80.6 | 1.2 | |
| ResNet-101 + ForAugModel=ResNet-101, Augmentation Strategy=3-augment, ForAug=true2025.03 | 80.4 | 1 | |
| DeiT-SModel=DeiT-S, Augmentation Strategy=RandAugment, ForAug=false2025.03 | 80.1 | — | |
| DeiT-S + ForAugModel=DeiT-S, Augmentation Strategy=RandAugment, ForAug=true2025.03 | 80 | 0.1 | |
| ViT-L + ForAugModel=ViT-L, Augmentation Strategy=3-augment, ForAug=true2025.03 | 79.8 | 4.5 | |
| Swin-Ti + ForAugModel=Swin-Ti, Augmentation Strategy=3-augment, ForAug=true2025.03 | 79.7 | 1.8 | |
| Swin-SModel=Swin-S, Augmentation Strategy=3-augment, ForAug=false2025.03 | 79.4 | — | |
| ResNet-101Model=ResNet-101, Augmentation Strategy=3-augment, ForAug=false2025.03 | 79.4 | — | |
| DeiT-LModel=DeiT-L, Augmentation Strategy=RandAugment, ForAug=false2025.03 | 79.3 | — | |
| ViT-SModel=ViT-S, Augmentation Strategy=3-augment, ForAug=false2025.03 | 79.1 | — | |
| ResNet-50 + ForAugModel=ResNet-50, Augmentation Strategy=3-augment, ForAug=true2025.03 | 78.8 | 0.5 | |
| ResNet-50Model=ResNet-50, Augmentation Strategy=3-augment, ForAug=false2025.03 | 78.3 | — | |
| Swin-TiModel=Swin-Ti, Augmentation Strategy=3-augment, ForAug=false2025.03 | 77.9 | — | |
| ViT-BModel=ViT-B, Augmentation Strategy=3-augment, ForAug=false2025.03 | 77.6 | — | |
| ViT-LModel=ViT-L, Augmentation Strategy=3-augment, ForAug=false2025.03 | 75.3 | — |