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The architecture of boosted‐EfficientNet‐B0. EfficientNet first extracts the image features through its convolutional layers. The attention mechanism is then utilized to reweight the features via increasing the activation of the significant parts. Next, we performed FF on the outputs of several convolutional layers. Subsequently, the images are classified based on those fused features. Details of these methods are described in the Materials and Methods sections.
