| efficient-vits-on-imagenet-1k-with-deit-s | Base (DeiT-S) | #4 | Top 1 Accuracy: 79.8GFLOPs: 4.6 |
| document-layout-analysis-on-publaynet-val | DeiT-B | #6 | Overall: 0.932Text: 0.934Title: 0.874List: 0.921Table: 0.972… |
| efficient-vits-on-imagenet-1k-with-deit-t | Base (DeiT-T) | #6 | Top 1 Accuracy: 72.2GFLOPs: 1.2 |
| fine-grained-image-classification-on-oxford-102-flowers | DeiT-B | #9 | Accuracy: 98.8%PARAMS: 86M |
| image-classification-on-inaturalist-2018 | DeiT-B | #15 | Top-1 Accuracy: 79.5% |
| image-classification-on-cifar-10 | DeiT-B | #16 | Percentage correct: 99.1 |
| image-classification-on-flowers-102 | DeiT-B | #23 | Accuracy: 98.8%PARAMS: 86M |
| document-image-classification-on-rvl-cdip | DeiT-B | #26 | Accuracy: 90.32%Parameters: 87M |
| image-classification-on-imagenet-real | DeiT-B-384 | #29 | Accuracy: 89.3%Params: 86M |
| image-classification-on-imagenet-real | DeiT-B | #32 | Accuracy: 88.7%Params: 86M |
| image-classification-on-imagenet-real | DeiT-S | #42 | Accuracy: 86.8%Params: 22M |
| image-classification-on-imagenet-real | DeiT-Ti | #54 | Accuracy: 82.1%Params: 5M |
| image-classification-on-imagenet-v2 | DeiT-B Distilled 384 (1000 epochs) | #30 | Top 1 Accuracy: 75.2 |
| image-classification-on-cifar-100 | DeiT-B | #33 | Percentage correct: 90.8PARAMS: 86M |
| fine-grained-image-classification-on-stanford-cars | DeiT-B | #49 | Accuracy: 93.3%PARAMS: 86M |
| image-classification-on-imagenet | DeiT-B 384 | #263 | Top 1 Accuracy: 85.2%Number of params: 87M |
| image-classification-on-imagenet | DeiT-B | #360 | Top 1 Accuracy: 84.2%Number of params: 86M |
| image-classification-on-imagenet | DeiT-B | #553 | Top 1 Accuracy: 82.6%Number of params: 22M |
| image-classification-on-imagenet | DeiT-B | #951 | Top 1 Accuracy: 76.6%Number of params: 5M |