An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease

<div>The validation accuracy rate of the network AlexNet, GoogLeNet, VGG16, and ResNet34 on the augmented dataset. The image at the left is the validation accuracy curve of each network model, and the image right is the verification loss curve of each network model.</div>

Computational Intelligence and Neuroscience

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Figure 10

Figure 10: An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease 