| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-cub-200-2011 | DenseNet161+MM+FRL | – | Accuracy: 88.5 |
| fine-grained-image-classification-on-fgvc-aircraft | DenseNet161+MM+FRL | – | Accuracy: 94.0 % |
| fine-grained-image-classification-on-stanford-cars | DenseNet161+MM+FRL | – | Accuracy: 95.2% |
| image-classification-on-cifar-10 | ResNet-18+MM+FRL | – | Percentage correct: 95.33 |
| image-classification-on-cifar-100 | ResNet-18+MM+FRL | – | Percentage correct: 76.64 |
| image-classification-on-stl-10 | ResNet-18+MM+FRL | – | Percentage correct: 85.42 |