# 52CV/CV-Surveys

计算机视觉相关综述。包括目标检测、跟踪........

Repository: https://github.com/52CV/CV-Surveys
Canonical: https://ross.abutalabs.com/products/cv-surveys
License Family: other
Last push: 2025-11-17T03:30:12+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 35, longevity 100
- inputs: {"age_days": 2066, "days_push": 289, "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 2241, forks 251 (observed 2026-08-28T04:06:29.821977+00:00)

## What it is
A curated, continuously updated collection of computer vision survey papers (e.g., object detection, tracking, 4D reconstruction, XAI), organized by topic and month with arXiv links and code repositories. It also links to related yearly paper aggregation repos for CVPR, ECCV, and WACV.

## Use cases
- find recent survey papers on object detection and tracking
- keep up with the latest computer vision research literature
- locate surveys on out-of-distribution detection or 4D world modeling
- find papers with accompanying code for a CV research topic
- prepare a literature review for a computer vision thesis

## When to choose
- you need a regularly updated, topic-organized index of CV survey papers
- you want quick access to arXiv links and code for CV surveys
- you are doing a literature review in computer vision

## When to avoid
- you need the original papers or implementations rather than links
- you need non-survey primary research papers organized by venue only
- you need a searchable academic database with full metadata

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: computer-vision, deep-learning, artificial-intelligence, tutorials, awesome-lists
- platform: cross-platform
- tags: cv-surveys, paper-collection, object-detection, object-tracking, curated-list, arxiv, research-papers

## Member repositories
- 52CV/CV-Surveys (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.821977+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 2026-08-30T02:44:05.251054+00:00, confidence not recorded.
  - readme: https://github.com/52CV/CV-Surveys (fetched 2026-08-28T04:06:29.821977+00:00, sha 444b50be11f1)
- Data as of 2026-08-30T08:39:29.467469+00:00.