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For years, convolutional neural networks (CNNs) were the default choice for computer vision. They powered breakthroughs in image classification, object detection, and segmentation. But as the field of deep learning evolves, a new architecture is reshaping the landscape: Vision Transformers (ViTs). Borrowed from natural language processing (NLP), transformers rely on attention mechanisms instead of convolutions. […]
