| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | DAFT-conv (16 heads) | – | Top 1 Accuracy: 80.2%Number of params: 20.3M |
| image-classification-on-imagenet | DAFT-conv (384 heads, 200 epochs) | – | Top 1 Accuracy: 80.1%Number of params: 23M |
| image-classification-on-imagenet | DAFT-conv (384 heads, 300 epochs) | – | Top 1 Accuracy: 80.8%Number of params: 23M |
| image-classification-on-imagenet | DAFT-full | – | Top 1 Accuracy: 79.8%Number of params: 22.6M |