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The article proposes a novel deep learning architecture called ViT-Synergy that combines the strengths of Vision Transformers and Convolutional Neural Networks for improved performance on image classification tasks. The authors demonstrate the effectiveness of their approach on several benchmark datasets, achieving state-of-the-art results.