Abstract: Residual Attention Networks (RANs) are a class of Convolutional Neural Networks (CNNs) that integrate attention mechanisms into deep architectures. RANs employ stacked attention modules to ...
Abstract: This paper investigates the Explainable EfficientNetV2S model's ability to distinguish between authentic and counterfeit photos in order to social protection. By carefully organizing the ...
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