Research Article
Self-Attention Multilayer Feature Fusion Based on Long Connection
| Model | The calculation amount (B) | Acc. (%) | Cifar10 | Cifar100 | Tiny-ImageNet |
| ResNet50 [7] | 0.328 | 92.39 | 68.14 | 54.84 | ResNet50-SCFF | 0.362 | 93.20 | 74.27 | 60.78 | ResNext50 [18] | 0.340 | 92.78 | 70.84 | 54.80 | ResNext50-SCFF | 0.374 | 93.35 | 75.79 | 62.08 | Res2Net50 [8] | 0.342 | 92.58 | 70.85 | 57.06 | Res2Net50-SCFF | 0.375 | 93.37 | 74.31 | 61.29 | PreActResNet50 [19] | 0.328 | 93.35 | 73.08 | 54.74 | PreActResNet50-SCFF | 0.362 | 93.98 | 76.14 | 54.54 | SKNet50 [9] | 0.622 | 92.59 | 67.36 | 57.22 | SKNet-SCFF | 0.656 | 93.64 | 72.56 | 61.34 | VGG16 [16] | 0.333 | 92.66 | — | — | VGG16-SCFF | 0.339 | 93.30 | — | — |
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