# dk-liang/Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Repository: https://github.com/dk-liang/Awesome-Visual-Transformer
Canonical: https://ross.abutalabs.com/products/awesome-visual-transformer
License Family: other
Topics: transformer-cv, transformer, detr, transformer-with-cv, transformer-awesome, visual-transformer
Last push: 2025-01-07T01:59:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2099, "days_push": 604, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3592, forks 405 (observed 2026-08-28T04:08:11.231331+00:00)

## What it is
A curated awesome-list collecting papers, surveys, and blogs about Vision Transformers (transformer architectures applied to computer vision). It organizes resources like DETR, ViT variants, and related research with links to papers and code.

## Use cases
- find papers on vision transformers
- learn about transformer architectures for computer vision
- find surveys on transformers in vision
- research DETR and object detection transformers
- keep up with new visual transformer research
- find code implementations of vision transformer papers

## When to choose
- you need a curated reading list on vision transformers
- you are surveying transformer-based CV research
- you want paper-to-code links for visual transformer models

## When to avoid
- you need runnable software or a library
- you want non-transformer computer vision resources
- you need a maintained codebase rather than a paper index

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: computer-vision, deep-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, vision-transformer, papers, survey, research

## Member repositories
- dk-liang/Awesome-Visual-Transformer (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.231331+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:33:50.741320+00:00, confidence not recorded.
  - readme: https://github.com/dk-liang/Awesome-Visual-Transformer (fetched 2026-08-28T04:08:11.231331+00:00, sha d261f70b4ce4)
- Data as of 2026-08-30T08:39:29.467469+00:00.