# bismex/Awesome-person-re-identification

Awesome Person Re-identification

Repository: https://github.com/bismex/Awesome-person-re-identification
Canonical: https://ross.abutalabs.com/products/awesome-person-re-identification
License Family: other
Topics: person-re-identification, person-reidentification, person-reid, awesome, reid, awesome-reid, vehicle-reid, vehicle-reidentification, identification, person-retrieval, gait, person-identification, reidentification, re-id, person-recognition, awesome-list, cross-modality-person
Last push: 2024-06-18T00:18:05+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": 3672, "days_push": 807, "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 1361, forks 199 (observed 2026-08-28T04:04:30.148241+00:00)

## What it is
A curated awesome-list of research papers on person re-identification (ReID), organized by conference and year, with links to arXiv or open-access PDFs. It also covers related topics such as vehicle re-identification, cross-modality ReID, and multi-camera multi-object tracking.

## Use cases
- find recent person re-identification papers from CVPR or ICCV
- survey the state of the art in reid research
- find papers on vehicle re-identification
- research gait recognition and person retrieval
- keep up with new reid publications at top conferences
- find cross-modality person re-identification literature

## When to choose
- you are a researcher or student surveying person/vehicle re-identification literature
- you want a conference-organized list of ReID papers with arXiv links
- you need pointers to related topics like multi-object tracking or trajectory prediction

## When to avoid
- you need runnable ReID code, models, or datasets rather than a paper list
- you need production person re-identification software
- you need papers behind paywalls like IEEE or Springer without institutional access

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, machine-learning
- domain: computer-vision, machine-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, person-re-identification, reid, vehicle-reid, gait-recognition, research-papers, surveys

## Member repositories
- bismex/Awesome-person-re-identification (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:30.148241+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 2026-08-30T04:41:34.391684+00:00, confidence not recorded.
  - readme: https://github.com/bismex/Awesome-person-re-identification (fetched 2026-08-28T04:04:30.148241+00:00, sha e404b424c272)
- Data as of 2026-08-30T08:39:29.467469+00:00.