| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-cub-200-1 | ViT-NeT | #6 | Accuracy: 91.7 |
| fine-grained-image-classification-on-nabirds | ViT-NeT (SwinV2-B) | #4 | Accuracy: 92.5% |
| fine-grained-image-classification-on-stanford | ViT-NeT (SwinV2-B) | #19 | Accuracy: 95.0% |
| fine-grained-image-classification-on-stanford-1 | ViT-NeT (DeiT-III-B) | #3 | Accuracy: 93.6% |
| image-classification-on-inaturalist | ViT-NeT (SwinV2-B) | #6 | Top 1 Accuracy: 81.2 |