This repository serves as a curated list of research papers applying Mamba and State Space Models (SSMs) to various Computer Vision (CV) tasks. It aims to provide a comprehensive overview for researchers and practitioners interested in exploring SSMs as an alternative to Transformers in vision.

How It Works

The repository categorizes Mamba-based CV research into numerous sub-fields, including classification, detection, segmentation, generation, and more. Each entry links to the corresponding research paper, offering a structured way to navigate the rapidly growing literature on Mamba in computer vision.

Quick Start & Requirements

This repository is a paper list and does not have installation or execution requirements.

Highlighted Details

• Comprehensive coverage of Mamba applications across diverse CV domains.
• Regularly updated with recent publications (last updated April 2025).
• Includes links to papers and, where available, associated code repositories.
• Categorizes research by task, facilitating targeted exploration.

Maintenance & Community

The repository is maintained by Yangzhangcst and welcomes contributions via issues or pull requests for any missed papers. Contact is available via email.

Licensing & Compatibility

This repository is a curated list of external research papers and does not have its own license. The licensing of individual papers and their associated code would need to be checked on a per-project basis.

Limitations & Caveats

As a curated list, this repository does not provide implementations or benchmarks. The quality and accessibility of the linked code vary by paper.