Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | VIT-L/16 (Spinal FC, Background) | 95.8 | No | Reduction of Class Activation Uncertainty with B... | 2023-05-05 | Code |
| 2 | efficient adaptive ensembling | 95.064 | No | Efficient Adaptive Ensembling for Image Classifi... | 2022-06-15 | - |
| 3 | NAT-M3 | 94.3 | No | Neural Architecture Transfer | 2020-05-12 | Code |
| 4 | NAT-M2 | 94.1 | No | Neural Architecture Transfer | 2020-05-12 | Code |
| 5 | NAT-M1 | 93.4 | No | Neural Architecture Transfer | 2020-05-12 | Code |
| 6 | ResNeXt29_2x64d | 91.45 | No | CINIC-10 is not ImageNet or CIFAR-10 | 2018-10-02 | Code |
| 7 | DenseNet-121 | 91.26 | No | CINIC-10 is not ImageNet or CIFAR-10 | 2018-10-02 | Code |
| 8 | ResNet-18 | 90.27 | No | CINIC-10 is not ImageNet or CIFAR-10 | 2018-10-02 | Code |
| 9 | VGG-16 | 87.77 | No | CINIC-10 is not ImageNet or CIFAR-10 | 2018-10-02 | Code |