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Publication trends · 2016–2025

CVPR

Conference on Computer Vision and Pattern Recognition

16,877papers 10editions 100%with abstracts
data from OpenAlex · report generated 2026-11-01Data details

Reporting period: 2016–2025. Data fetched: 2026-11-01 12:06 UTC

The abstract percentage is the share of indexed papers with abstracts, not the completeness of conference proceedings.

Coverage by year

YearPapersWith abstract
201664999.4%
201779199.4%
201898599.5%
2019130399.6%
2020147399.4%
2021166299.6%
2022207599.9%
20232355100.0%
2024271699.7%
2025286899.8%

At a glance

Papers per yearOutput growing about 18% a year, from 649 to 2,868 papers; abstract coverage 100%.

How the field's topics shifted

“visual / text / vision-language” grew from 7.3% to 16% of papers, while “deep / network / neural networks” fell from 25% to 11%.

Share of papers by dominant topicTopics fitted with NMF on titles and abstracts; each paper assigned to its strongest topic. Smaller topics folded into “Other”.

OpenAlex · paper-trends

Show all topics
  • — object, detection, object detection, objects, detectors, detector (1623 papers)
  • — domain, adaptation, target, source, domain adaptation, domains (1530 papers)
  • — segmentation, supervised, semantic, semantic segmentation, labels, self (1505 papers)

Who publishes

Papers with at least one author at the institution (a paper counts once per institution; subsidiaries and institutes are credited to their parent). The arrow is the change in share of papers between the two halves of the period.

Where the papers come fromShare of papers with at least one author in the country. Countries without a paper are left blank. Single years are three-year rolling shares, so the picture moves rather than jumps.
2016–2025 2016 ▶ Play China 45% · United States 36% · United Kingdom 8.1% · Hong Kong 7.7%
Institutions
Countries

OpenAlex · paper-trends