Image Classification on ImageNet Real re-assessed (val)
88.1Real Top-1 AccCeiT-S↑384
Evaluation results
| Method | Links | |
|---|---|---|
| CeiT-S↑384Group=Transformers, input size=384, fine-tuned=yes2021.03 | 88.1 | |
| EfficientNet-B4Group=CNNs, input size=3802021.03 | 88 | |
| DeiT-B↑384Group=Transformers, input size=384, fine-tuned=yes2021.03 | 87.7 | |
| RegNetY-8GFGroup=CNNs, input size=2242021.03 | 87.4 | |
| CeiT-SGroup=Transformers, input size=2242021.03 | 87.3 | |
| EfficientNet-B3Group=CNNs, input size=3002021.03 | 86.8 | |
| DeiT-S + TeacherGroup=Transformers, input size=224, distillation=teacher-based2021.03 | 86.8 | |
| DeiT-BGroup=Transformers, input size=2242021.03 | 86.7 | |
| RegNetY-4GFGroup=CNNs, input size=2242021.03 | 86.4 | |
| EfficientNet-B2Group=CNNs, input size=2602021.03 | 85.9 | |
| DeiT-SGroup=Transformers, input size=2242021.03 | 85.7 | |
| CeiT-T↑384Group=Transformers, input size=384, fine-tuned=yes2021.03 | 85.6 | |
| EfficientNet-B1Group=CNNs, input size=2402021.03 | 84.9 | |
| ResNet-152Group=CNNs, input size=2242021.03 | 84.1 | |
| ResNet-101Group=CNNs, input size=2242021.03 | 83.7 | |
| CeiT-TGroup=Transformers, input size=2242021.03 | 83.6 | |
| EfficientNet-B0Group=CNNs, input size=2242021.03 | 83.5 | |
| ResNet-50Group=CNNs, input size=2242021.03 | 82.5 | |
| DeiT-T + TeacherGroup=Transformers, input size=224, distillation=teacher-based2021.03 | 82.1 | |
| DeiT-TGroup=Transformers, input size=2242021.03 | 80.6 | |
| ResNet-18Group=CNNs, input size=2242021.03 | 77.3 |