# 52CV/CVPR-2021-Papers

Repository: https://github.com/52CV/CVPR-2021-Papers
Canonical: https://ross.abutalabs.com/products/cvpr-2021-papers
License Family: other
Last push: 2022-04-11T05:50:36+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": 2009, "days_push": 1605, "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 2531, forks 311 (observed 2026-08-28T04:06:58.884588+00:00)

## What it is
A curated, categorized collection of CVPR 2021 accepted papers and code links, maintained as a GitHub awesome-list. It organizes roughly 1,660 papers into dozens of computer vision topics such as object detection, pose estimation, medical imaging, and neural rendering.

## Use cases
- find CVPR 2021 papers on a specific computer vision topic
- browse accepted papers with code links from CVPR 2021
- keep up with the latest computer vision research trends
- find papers on pose estimation or image generation
- locate code implementations for CVPR 2021 papers

## When to choose
- you want a categorized overview of CVPR 2021 research
- you need to find papers and code for a specific CV subfield
- you are surveying the state of the art as of 2021

## When to avoid
- you need papers from more recent conferences
- you want a searchable database rather than a static list
- you need non-vision machine learning research

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, computer-vision, deep-learning
- domain: computer-vision, deep-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: cvpr-2021, paper-collection, awesome-list, research-papers, computer-vision-papers, curated-list

## Member repositories
- 52CV/CVPR-2021-Papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.884588+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 2026-08-30T02:25:19.014867+00:00, confidence not recorded.
  - readme: https://github.com/52CV/CVPR-2021-Papers (fetched 2026-08-28T04:06:58.884588+00:00, sha 8eb117c561cf)
- Data as of 2026-08-30T08:39:29.467469+00:00.