Image Classification on ImageNet-1K (val) (Top-1 Accuracy, FLOPs, Throughput, and Parameters)
84.3Top-1 AccuracyEfficientNet-B7
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| EfficientNet-B7Resolution=600x6002021.03 | 84.3 | 37 | 55 | 66 | |
| CrossViT-18†Resolution=480x4802021.03 | 84.1 | 56.6 | 57 | 44.9 | |
| EfficientNet-B6Resolution=528x5282021.03 | 84 | 19 | 100 | 43 | |
| CrossViT-18†Resolution=384x3842021.03 | 83.9 | 32.4 | 112 | 44.6 | |
| EfficientNet-B5Resolution=456x4562021.03 | 83.7 | 9.9 | 169 | 30 | |
| CrossViT-15†Resolution=384x3842021.03 | 83.5 | 21.4 | 158 | 28.5 | |
| EfficientNet-B4Resolution=380x3802021.03 | 82.9 | 4.2 | 356 | 19 | |
| CrossViT-18+Resolution=224x2242021.03 | 82.8 | 9.5 | 418 | 44.3 | |
| CrossViT-18Resolution=224x2242021.03 | 82.5 | 9.03 | 430 | 43.3 | |
| CrossViT-15+Resolution=224x2242021.03 | 82.3 | 6.1 | 626 | 28.2 | |
| CrossViT-15Resolution=224x2242021.03 | 81.5 | 5.8 | 640 | 27.4 | |
| SENet-154Resolution=224x2242021.03 | 81.3 | 20.7 | 201 | 115.1 | |
| RegNetY-32GFResolution=224x2242021.03 | 81 | 32.3 | 208 | 145 | |
| RegNetY-16GFResolution=224x2242021.03 | 80.4 | 15.9 | 336 | 83.6 | |
| RegNetY-12GFResolution=224x2242021.03 | 80.3 | 12.1 | 439 | 51.8 | |
| RegNetY-8GFResolution=224x2242021.03 | 79.9 | 8 | 557 | 39.2 | |
| ResNeXt-101-64x4dResolution=224x2242021.03 | 79.6 | 15.5 | 289 | 83.5 | |
| ECA-Net152Resolution=224x2242021.03 | 78.9 | 10.9 | 428 | 59.1 | |
| ResNeXt-101-32x4dResolution=224x2242021.03 | 78.8 | 8 | 477 | 44.2 | |
| ECA-Net101Resolution=224x2242021.03 | 78.7 | 7.4 | 591 | 42.5 | |
| SEResNet-152Resolution=224x2242021.03 | 78.4 | 11.5 | 392 | 66.8 | |
| SEResNet-101Resolution=224x2242021.03 | 77.6 | 7.8 | 564 | 49.3 | |
| ResNet-152Resolution=224x2242021.03 | 77 | 11.5 | 445 | 60.2 | |
| ResNet-101Resolution=224x2242021.03 | 76.7 | 7.8 | 678 | 44.6 |