| Benchmark | Model | Rank | Results |
|---|---|---|---|
| fine-grained-image-classification-on-caltech-101 | ResNet-101 (ideal number of groups) | – | Top-1 Error Rate: 22.247% |
| fine-grained-image-classification-on-oxford-iiit-pets | ResNet-101 (ideal number of groups) | – | Accuracy: 77.076 |
| image-classification-on-mnist | MLP (ideal number of groups) | – | Percentage error: 1.67 |