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Multi-Head Attention in ViT
I need help to understand the multihead attention in ViT. Here's the code I found from GitHub:
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Why is self-attention used for image classification?
I'm wondering why you would use Self-Attention across an entire image for image classification. What are the advantages of Self-Attention compared to a pure MLP?