Methods › Computer Vision › Vision Transformers › Vision Transformer

Vision Transformer

2,144 papers tagged archive 2025-07-28

Introduced by Alexey Dosovitskiy et al. in An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The Vision Transformer, or ViT, is a model for image classification that employs a Transformer-like architecture over patches of the image. An image is split into fixed-size patches, each of them are then linearly embedded, position embeddings are added, and the resulting sequence of vectors is fed to a standard Transformer encoder. In order to perform classification, the standard approach of adding an extra learnable “classification token” to the sequence is used.

PaperSourceSee Code · google-research/vision_transformer

Papers archive 2025-07-28

30 shown of 2,144, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 839 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Classification322
Semantic Segmentation309
image-classification250
Object Detection197
Segmentation172
object-detection171
Self-Supervised Learning137
Decoder125
Transfer Learning106
Classification101
Object95
Image Segmentation78
Instance Segmentation76
Data Augmentation74
Representation Learning74
Contrastive Learning66
Diagnostic59
Inductive Bias56
Retrieval52
Language Modelling51

Usage over time archive 2025-07-28

Papers per year tagged with Vision Transformer: 2020 to 2025, peak 644 644 0 2020: 7 papers 2020 2021: 213 papers 2021 2022: 412 papers 2022 2023: 556 papers 2023 2024: 644 papers 2024 2025: 312 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (2,144 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Vision TransformersImage Models

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