# 52CV/CVPR-2024-Papers

Repository: https://github.com/52CV/CVPR-2024-Papers
Canonical: https://ross.abutalabs.com/products/cvpr-2024-papers
License Family: other
Last push: 2024-06-27T02:22:48+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 72
- inputs: {"age_days": 1008, "days_push": 798, "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 1126, forks 64 (observed 2026-08-28T04:03:41.173619+00:00)

## What it is
A curated, categorized collection of CVPR 2024 conference papers, including best paper awards and links to code and project pages. It organizes hundreds of computer vision papers into topic categories such as segmentation, 3D, face, and medical imaging.

## Use cases
- find CVPR 2024 papers on image segmentation
- browse best papers from CVPR 2024
- keep up with latest computer vision research
- find code implementations for CVPR papers
- survey 3D reconstruction and Gaussian splatting papers
- research medical image analysis papers from CVPR

## When to choose
- you want a categorized overview of CVPR 2024 computer vision papers
- you need links to arXiv, code, and project pages for conference papers
- you are doing a literature review in computer vision

## When to avoid
- you need papers from other conferences or years (see the author's sibling repos)
- you want a searchable paper database rather than a static list
- you need non-computer-vision ML papers

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation, computer-vision
- domain: computer-vision, deep-learning, tutorials, awesome-lists
- platform: -
- tags: cvpr-2024, paper-collection, curated-list, computer-vision-research, academic-papers, awesome-list, web-server

## Member repositories
- 52CV/CVPR-2024-Papers (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.173619+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 2026-08-30T06:39:10.776872+00:00, confidence not recorded.
  - readme: https://github.com/52CV/CVPR-2024-Papers (fetched 2026-08-28T04:03:41.173619+00:00, sha f25fee95db7f)
- Data as of 2026-08-30T08:39:29.467469+00:00.