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This is an investigation and collection of the Segment Anything Model (SAM) on real-world applications.

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Investigation-of-SAM🤔

This is an investigation and collection of the Segment Anything Model (SAM) on real-world applications.

🎑 News

  • [23/04/19] "Investigation-of-SAM" repo is created. Add the representative projects.

🍵 To Do

    • Add some details and tips for each project
    • Add paper with code
    • Add some images
    • Add more details and some tips for each paper

Content

1.Introduction

Segment Anything

Meta AI Research, FAIR

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

[Paper] | [Project] | [Code] | [Demo] | [Dataset] | [Blog]

Segment Anything Model (SAM): a new AI model from Meta AI that can "cut out" any object, in any image, with a single click. SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training.

2. Related Paper

Survey

  • A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering [v1](arXiv-2023.06)
  • A Comprehensive Survey on Segment Anything Model for Vision and Beyond [v1](arXiv-2023.05)
  • Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications [v1](arXiv-2023.04) ... [v3](CVPRW-2023.05)

2023

3. Related Project

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This is an investigation and collection of the Segment Anything Model (SAM) on real-world applications.

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