# IDEA-Research/awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

Repository: https://github.com/IDEA-Research/awesome-detection-transformer
Canonical: https://ross.abutalabs.com/products/awesome-detection-transformer
License Family: other
Last push: 2024-07-04T09:42:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1638, "days_push": 790, "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 1397, forks 115 (observed 2026-08-28T04:04:36.752929+00:00)

## What it is
A curated awesome-list collecting papers on transformer-based object detection and segmentation (DETR and its variants), organized by research field. It also links to related toolboxes like detrex and mmdetection.

## Use cases
- find papers on DETR and detection transformers
- survey transformer-based object detection research
- research transformer methods for image segmentation
- find open-vocabulary and multi-modal detection papers
- find 3D object detection transformer papers
- find pose estimation papers using transformers

## When to choose
- starting research on transformer-based detection or segmentation
- building a literature review for DETR-style models
- looking for links to code implementations of detection transformer papers

## When to avoid
- you need a runnable detection model or training framework rather than a paper list
- you need non-transformer object detection methods
- you need a maintained software library

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, machine-learning, documentation
- domain: computer-vision, deep-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, detection-transformer, detr, object-detection, segmentation, papers, research

## Member repositories
- IDEA-Research/awesome-detection-transformer (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.752929+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 2026-08-30T04:39:15.622803+00:00, confidence not recorded.
  - readme: https://github.com/IDEA-Research/awesome-detection-transformer (fetched 2026-08-28T04:04:36.752929+00:00, sha 62c008681791)
- Data as of 2026-08-30T08:39:29.467469+00:00.