| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-cinic-10 | ResNeXt29_2x64d | #5 | Accuracy: 91.45 |
| image-classification-on-cinic-10 | DenseNet-121 | #6 | Accuracy: 91.26 |
| image-classification-on-cinic-10 | ResNet-18 | #7 | Accuracy: 90.27 |
| image-classification-on-cinic-10 | VGG-16 | #8 | Accuracy: 87.77 |