Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | CoAtNet-1 | 98.74 | No | CoAtNet: Marrying Convolution and Attention for ... | 2021-06-09 | Code |
| 2 | Res2Net-50 | 98.68 | No | Res2Net: A New Multi-scale Backbone Architecture | 2019-04-02 | Code |
| 3 | ResNeXt-50-32x4d | 98.59 | No | Aggregated Residual Transformations for Deep Neu... | 2016-11-16 | Code |
| 4 | ResNet-50 | 98.56 | No | Deep Residual Learning for Image Recognition | 2015-12-10 | Code |
| 5 | ResNet-18 | 98.47 | No | Deep Residual Learning for Image Recognition | 2015-12-10 | Code |
| 6 | EfficientNet-b0 | 98.11 | No | EfficientNet: Rethinking Model Scaling for Convo... | 2019-05-28 | Code |
| 7 | RegNetY-3.2GF | 97.48 | No | RegNet: Self-Regulated Network for Image Classif... | 2021-01-03 | Code |
| 8 | DenseNet-169 | 96.9 | No | Densely Connected Convolutional Networks | 2016-08-25 | Code |