This repository provides a curated list of recent research papers focusing on the application of Transformers in Computer Vision tasks. It serves as a valuable resource for researchers and practitioners looking to stay updated on advancements in this rapidly evolving field.

How It Works

The project functions as a comprehensive, categorized bibliography of academic papers. It organizes Transformer-based computer vision research across a wide spectrum of sub-fields, enabling users to quickly locate relevant literature. The list is actively maintained, encouraging community contributions to ensure its completeness and timeliness.

Quick Start & Requirements

No installation or execution is required; this is a reference list.

Highlighted Details

• Extensive categorization of Transformer applications in CV, covering over 70 sub-fields.
• Includes links to papers and available code implementations where applicable.
• Actively updated, with the latest version dated 2025/04/29.
• Open to community contributions via issues or pull requests.

Maintenance & Community

The project is maintained by Yangzhangcst, with contact provided via email. Community contributions are encouraged.

Licensing & Compatibility

The repository itself, as a curated list of links, does not appear to have a specific license. Individual paper licenses and code licenses would apply to the linked resources.

Limitations & Caveats

This repository is a bibliography and does not contain code for training or inference. The availability and quality of linked code depend entirely on the original authors of the research papers.