# Yangzhangcst/Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

Repository: https://github.com/Yangzhangcst/Transformer-in-Computer-Vision
Canonical: https://ross.abutalabs.com/products/transformer-in-computer-vision
License Family: other
Topics: transformer, transformer-cv, transformer-awesome, detr, vit, awesome, computer-vision, deep-learning, papers
Last push: 2025-11-19T02:10:03+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 52, release rhythm 35, longevity 100
- inputs: {"age_days": 1967, "days_push": 288, "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 1464, forks 156 (observed 2026-08-28T04:04:47.839372+00:00)

## What it is
A curated awesome-list of research papers on Transformer-based computer vision works, organized by task (detection, segmentation, classification, etc.) with links to code where available. It is a reading resource, not runnable software.

## Use cases
- find papers on vision transformers
- survey transformer-based object detection research
- keep up with recent transformer CV papers
- find code implementations for DETR-style models
- research reading list for ViT architectures
- literature review for transformer computer vision

## When to choose
- you need a broad, task-organized index of transformer CV literature
- you want paper links plus available code implementations
- you need a starting point for a literature survey

## When to avoid
- you need runnable code or a library rather than a paper list
- you need non-transformer computer vision methods
- you need curated tutorials or courses instead of raw papers

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, machine-learning
- domain: computer-vision, deep-learning, tutorials
- platform: cross-platform
- tags: awesome-list, papers, transformer, vision-transformer, detr, vit, research

## Member repositories
- Yangzhangcst/Transformer-in-Computer-Vision (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:47.839372+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 2026-08-30T04:35:09.166868+00:00, confidence not recorded.
  - readme: https://github.com/Yangzhangcst/Transformer-in-Computer-Vision (fetched 2026-08-28T04:04:47.839372+00:00, sha c7f2457088f4)
- Data as of 2026-08-30T08:39:29.467469+00:00.