CVPR Papers: Computer Vision Research from 2013 to Present

CVPR Papers is a collection of all papers from the IEEE Conference on Computer Vision and Pattern Recognition from 2013 onward. The dataset includes metadata and PDFs, documenting the evolution of computer vision research since the deep learning revolution. It was created by choucsan and last updated on Hugging Face in May 2026.

Use Cases

• Analyze research trends in computer vision based on the complete collection of CVPR papers.
• Conduct citation network or author impact studies based on the included paper metadata.
• Benchmark new model architectures against historical breakthroughs documented in the papers.
• Perform text mining on paper abstracts or full texts to identify emerging topics.

Strengths

• Covers the premier computer vision conference from 2013 to the present, a key period for deep learning.
• Includes both metadata and PDFs for papers, providing access to full text.
• Last updated on 2026 05 16, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect publication bias inherent to a single conference venue.

Provenance

Source

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Collection Method

Likely scraped or compiled from conference proceedings.

Time Range

2013 to present

Freshness

Last updated 2026-05-16 13:25:53; freshness should be verified.

Geography

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