How do Vision Transformers work? – Paper explained | multi-head self-attention & convolutions
It turns out that multi-head self-attention and convolutions are complementary. So, what makes multi-head self-attention different from convolutions? How and why do Vision Transformers work? In this video, we will find out by explaining the paper “How Do Vision Transformers Work?” by Namuk & Kim, 2021.
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⏩ Vision Transformers explained playlist:
📺 ViT: An image is worth 16x16 pixels:
📺 Swin Transformer:
📺 ConvNext:
📺 DeiT:
📺 Adversarial attacks:
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