| VOLO-D5 | 57.2 | 59.7 | 51.8 | VOLO: Vision Outlooker for Visual Recognition | |
| ConvNeXt-B | 53.5 | 56 | 46.9 | A ConvNet for the 2020s | |
| ResNeXt-101 32x16d | 51.7 | 54.8 | 48.1 | Aggregated Residual Transformations for Deep Neural Networks | |
| EfficientNet-B8 (advprop+autoaug) | 50.5 | 53.2 | 45.8 | Adversarial Examples Improve Image Recognition | |
| EfficientNet-B7 (advprop+autoaug) | 49.7 | 52 | 45 | Adversarial Examples Improve Image Recognition | |
| EfficientNet-B6 (advprop+autoaug) | 49.6 | 53.2 | 44.7 | Adversarial Examples Improve Image Recognition | |
| EfficientNet-B5 (advprop+autoaug) | 49.1 | 51.7 | 44 | Adversarial Examples Improve Image Recognition | |
| ViT-16/L-224 | 49 | - | - | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | |
| ResNet-50 (gn) | 48.9 | 44.4 | 39.1 | ResNet strikes back: An improved training procedure in timm | |
| EfficientNet-B4 (advprop+autoaug) | 48.1 | 51.4 | 42.5 | Adversarial Examples Improve Image Recognition | |
| ResNet-152 | 47.5 | 51.3 | 43.3 | Deep Residual Learning for Image Recognition | |
| ResNet-101 | 46.3 | 50.1 | 40.5 | Deep Residual Learning for Image Recognition | |
| EfficientNet-B6 (autoaug) | 45.8 | 50.7 | 39.3 | AutoAugment: Learning Augmentation Strategies From Data | - |
| EfficientNet-B5 (autoaug) | 45.7 | 50.2 | 39.8 | AutoAugment: Learning Augmentation Strategies From Data | - |
| EfficientNet-B3 (advprop+autoaug) | 45.5 | 49.5 | 39.8 | Adversarial Examples Improve Image Recognition | |
| EfficientNet-B7 (autoaug) | 45 | 49.9 | 39.1 | AutoAugment: Learning Augmentation Strategies From Data | - |
| EfficientNet-B7 (randaug) | 45 | 48.7 | 38.9 | RandAugment: Practical automated data augmentation with a reduced search space | |
| EfficientNet-B4 (autoaug) | 44.3 | 48.6 | 38.2 | AutoAugment: Learning Augmentation Strategies From Data | - |
| EfficientNet-B2 (advprop+autoaug) | 44.3 | 48 | 38.2 | Adversarial Examples Improve Image Recognition | |
| ResNet-50 | 42.9 | 47.7 | 37.1 | Deep Residual Learning for Image Recognition | |