| image-classification-on-cifar-10 | ViT-H/14 | #1 | Percentage correct: 99.5 |
| image-classification-on-cifar-10 | ViT-L/16 | #5 | Percentage correct: 99.42 |
| image-classification-on-cifar-100 | Vision Transformer (ViT-H/14) (extra data) | #4 | Percentage correct: 94.55 |
| image-classification-on-vtab-1k | Vision Transformer (ViT-H/14) (extra data) | #4 | Top-1 Accuracy: 77.63 |
| image-classification-on-flowers-102 | | #6 | Accuracy: 99.68 |
| domain-generalization-on-vizwiz-classification | ViT-16/L-224 | #8 | Accuracy - All Images: 49 |
| domain-generalization-on-vizwiz-classification | ViT-8/B-224 | #90 | Accuracy - Clean Images: 450 |
| image-classification-on-imagenet-real | Vision Transformer (ViT-H/14) (extra data) | #15 | Accuracy: 90.72% |
| fine-grained-image-classification-on-oxford-iiit-pets | ViT-B/16 | #17 | Top-1 Error Rate: 6.2% |
| image-classification-on-imagenet | ViT-H/14 | #43 | Top 1 Accuracy: 88.55% |
| image-classification-on-imagenet | ViT-L/16 | #79 | Top 1 Accuracy: 87.76% |
| image-classification-on-imagenet | ViT-Large | #1104 | Top 1 Accuracy: 24% |
| image-classification-on-objectnet | ViT-H/14 | #94 | Top-5 Accuracy: 82.1 |