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Adaptive Modular Retrieval-Augmented Framework for Cross-Domain Image Classification
Effective image classification in real-world scenarios requires models capable of capturing both local features and global context, while adapting to the evolving complexity of the input. This paper presents a hybrid deep learning system named AMR-Net (Adaptive Modular Retrieval Network) for adaptab
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