Enhanced Convolutional Neural Network Architecture with Attention-Guided Feature Refinement for Robust Image Classification
Image classification remains a foundational problem in computer vision, underpinning applications that range from medical diagnostics to autonomous navigation. Although deep convolutional neural networks (CNNs) have substantially advanced classification accuracy over the last decade, standard architectures such as VGG,...