Research Article
[Retracted] Coupled Attention Framework of Convolutional Neural Network Based on Computer Intelligence
Table 4
Accuracy of MobileNet methods on ImageNet.
| Method | Acc (%) | Params (M) | FLOPs (G) |
| MobileNetV1 | 72.56 | 4.23 | 0.59 | SE | 73.75 | 4.72 | 0.59 | CAF-SE | 74.09 | 4.60 | 0.59 | CBAM | 73.56 | 4.72 | 0.59 | CAF-CBAM | 73.85 | 4.60 | 0.59 | SGE | 73.67 | 4.23 | 0.59 | CAF-SGE | 73.97 | 4.23 | 0.59 |
| MobileNetV2 | 71.82 | 3.50 | 0.33 | SE | 73.28 | 4.08 | 0.33 | CAF-SE | 73.49 | 3.96 | 0.33 | CBAM | 73.21 | 4.08 | 0.33 | CAF-CBAM | 73.35 | 3.96 | 0.33 | SGE | 73.15 | 3.50 | 0.33 | CAF-SGE | 73.35 | 3.50 | 0.33 |
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