Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

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Vision Transformers (ViTs) have emerged as a powerful alternative to convolutional neural networks by applying the transformer’s self-attention mechanism directly to image data. In place of sliding ...