Zapis dokaza metode

Vision Transformer

The Vision Transformer (ViT), introduced by Dosovitskiy and colleagues in 2021, splits an image into fixed-size patches, treats those patches as a sequence, and applies the Transformer self-attention mechanism to image classification. Given enough training data, it surpasses convolutional neural networks (CNNs).

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Vision Transformer (ViT)

Taksonomski zapis metode · ml-model / deep-learning

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