Visual Transformers (ViT)

Thu, 09 Jul 2026 21:02:56 +1000

the vision transformer asks a blunt question: if attention replaced recurrence for text, can it replace convolution for images? the answer (dosovitskiy et al. 2020, an image is worth 16x16 words) is yes — chop the image into patches, treat each patch as a token, and feed the sequence to a standard transformer encoder with almost no vision-specific machinery. 𐃏

Patchify on Aayush Bajaj's Augmenting Infrastructure

Visual Transformers (ViT)