This repository serves as a comprehensive survey and curated list of resources related to Meta AI's Segment Anything Model (SAM) and its successors. It aims to provide researchers and practitioners with an organized overview of SAM's development, applications, and the broader ecosystem of related projects and papers.

How It Works

The repository is structured around a survey paper that details the historical development, recent progress, and impact of SAM. It categorizes and lists seminal papers, follow-up research, and open-source projects that build upon or extend SAM's capabilities. The content is continuously updated to reflect the rapid advancements in this field.

Quick Start & Requirements

This repository is a curated list of papers and projects, not a runnable software package. To use specific projects mentioned, refer to their individual repositories for installation and usage instructions.

Highlighted Details

• Comprehensive survey of SAM and its applications across various domains.
• Extensive list of seminal and follow-up research papers, including recent advancements like SAM2.
• Curated collection of open-source projects and tools that leverage SAM.
• Highlights key milestones, including paper acceptances and model releases.

Maintenance & Community

The repository is actively maintained, with recent updates reflecting new research and model releases (e.g., SAM2). Contributions are encouraged via pull requests.

Licensing & Compatibility

The repository itself is released under the MIT license. Individual projects linked within the repository will have their own licenses.

Limitations & Caveats

As a survey and resource list, this repository does not provide direct functionality. Users must consult the linked projects for their specific requirements, dependencies, and potential limitations.