| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-cub-200-2011 | DATL | – | Accuracy: 91.2 |
| fine-grained-image-classification-on-fgvc-aircraft | ImageNet + iNat on WS-DAN | – | Top-1: 91.5 |
| fine-grained-image-classification-on-food-101 | ImageNet + iNat on WS-DAN | – | Top 1 Accuracy: 88.7 |
| fine-grained-image-classification-on-stanford-dogs | ImageNet + iNat on WS-DAN | – | Accuracy: 90% |
| image-classification-on-flowers-102 | DAT | – | Accuracy: 98.9% |
| image-classification-on-stanford-cars | ImageNet + iNat on WS-DAN | – | Accuracy: 94.1 |