Research Article
[Retracted] Coupled Attention Framework of Convolutional Neural Network Based on Computer Intelligence
Table 2
Accuracy of MobileNet methods on Cifar100.
| Method | Acc (%) | Params (M) | FLOPs (G) |
| MobileNetV1 | 68.45 | 3.32 | 0.48 | SE | 68.69 | 3.80 | 0.49 | CAF-SE | 69.63 | 3.68 | 0.49 | CBAM | 68.65 | 3.80 | 0.49 | CAF-CBAM | 68.94 | 3.68 | 0.49 | SGE | 68.53 | 3.32 | 0.48 | CAF-SGE | 68.88 | 3.32 | 0.48 |
| MobileNetV2 | 69.54 | 2.37 | 0.69 | SE | 69.73 | 2.94 | 0.70 | CAF-SE | 70.44 | 2.46 | 0.70 | CBAM | 69.75 | 2.94 | 0.70 | CAF-CBAM | 69.81 | 2.46 | 0.70 | SGE | 69.85 | 2.37 | 0.69 | CAF-SGE | 69.84 | 2.37 | 0.69 |
|
|