This repository serves as a curated and categorized collection of papers presented at CVPR 2023, aimed at researchers and practitioners in computer vision. It provides a structured overview of the latest advancements across various subfields, facilitating efficient discovery and exploration of relevant research.

How It Works

The project organizes CVPR 2023 papers into a comprehensive taxonomy covering 75+ categories, ranging from core areas like image segmentation and object detection to specialized topics such as autonomous vehicles, medical imaging, and vision-language tasks. Each paper is linked to its respective category, enabling users to navigate and find papers based on their specific interests.

Highlighted Details

• Features papers from CVPR 2023, a premier computer vision conference.
• Organized into a detailed taxonomy with over 75 categories.
• Includes links to award-winning papers, such as "Planning-oriented Autonomous Driving" and "3D Registration with Maximal Cliques."
• Provides links to related conference paper collections (e.g., WACV-2024, ICCV-2023).

Maintenance & Community

This is a community-driven effort to catalog conference papers. Further details on community engagement or maintenance are not explicitly provided in the README.

Licensing & Compatibility

The repository itself is likely under a permissive open-source license (e.g., MIT, Apache), but it primarily links to external research papers, each with its own copyright and distribution terms. Compatibility for commercial use depends on the licenses of the individual papers and their associated code.

Limitations & Caveats

The repository is a static collection of links and does not host the papers or code directly. Users must navigate to external sources for full access. The categorization is based on the authors' submissions and may not perfectly align with all user perspectives.