Verified claim · AI-ML · 100% confidence
Vision Transformer (ViT) introduced in paper: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Dosovitskiy et al., 2020).
Last verified 2026-05-16 · Methodology veritas-v0.1 · d3681b0981e0b700
Structured fields
- Subject
- Vision Transformer (ViT)
- Predicate
introduced_in_paper- Object
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Dosovitskiy et al., 2020)
- Confidence
- 100%
- Tags
- vit · vision-transformer · foundational · dosovitskiy · 2020 · google · iclr
Sources (2)
[1] preprint · arXiv (Dosovitskiy et al., Google Research) · 2020-10-22
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale“We show that this reliance on CNNs is not necessary and a pure transformer applied directly to sequences of image patches can perform very well on image classification tasks.”
[2] peer reviewed · OpenReview / ICLR · 2021-05-04
Vision Transformer (ICLR 2021)
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