오픈소스가 쏘아올린 작은 공 - SAM.

Meta가 요즘 계속 오픈소스로 재미를 보고 있는 것 같은데, LlaMa 이외에도 SAM도 폭발적으로 확산되고 있네요.

김진성 교수님이 Segment Anything Model (SAM) for Radiation Oncology 논문을 소개해주셔서 이 참에 잠시 찾아보면서 깜짝 놀랐네요. 4월5일 Meat에서 SAM을 발표한 이후로 github 별표는 벌써 3.5만개를 넘어섰고 arXiv 논문들도 어마어마하다는.

그중에서도 의료영상 분할 쪽만해도 제법 되고 있고, SAM 관련 서베이 논문들은 계속 쏟아져 나오고, 목록을 정리하고 있는 github 리포들도 많더군요. 이미 어느 정도 생태계를 굳혔다고 말해도 될 것 같네요.

잠깐 20분 정도 찾은 것들만해도 이 정도 링크들이니. 정말 오픈소스의 힘이란 ..... #SAM

Awesome Segment Anything
https://github.com/Hedlen/awesome-segment-anything

Segment Anything Model (SAM) for Medical Image Segmentation.
https://github.com/YichiZhang98/SAM4MIS

Segment Anything Model (SAM) for Radiation Oncology
https://arxiv.org/abs/2306.11730

Segment Anything
https://arxiv.org/abs/2304.02643

Segment Anything Model for Medical Image Analysis: an Experimental Study
https://arxiv.org/abs/2304.10517

Segment Anything in Medical Images
https://arxiv.org/abs/2304.12306

SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
https://arxiv.org/abs/2304.09148

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
https://arxiv.org/abs/2304.05396

When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
https://arxiv.org/abs/2304.08506

Segment Anything Model for Medical Images?
https://arxiv.org/abs/2304.14660

SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
https://arxiv.org/abs/2304.05622

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
https://arxiv.org/abs/2305.00035

Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
https://arxiv.org/abs/2304.09324

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
https://arxiv.org/abs/2304.12620

Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines
https://arxiv.org/abs/2305.00109

Personalize Segment Anything Model with One Shot
https://arxiv.org/abs/2305.03048

How Segment Anything Model (SAM) Boost Medical Image Segmentation?
https://arxiv.org/abs/2305.03678

Customized Segment Anything Model for Medical Image Segmentation
https://arxiv.org/abs/2304.13785

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
https://arxiv.org/abs/2305.05803

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
https://arxiv.org/abs/2305.00278

Segment Anything in High Quality
https://arxiv.org/abs/2306.01567

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
https://arxiv.org/abs/2304.04155

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
https://arxiv.org/abs/2306.02245

DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation
https://arxiv.org/abs/2306.00499

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
https://arxiv.org/abs/2306.06211

A Comprehensive Survey on Segment Anything Model for Vision and Beyond
https://arxiv.org/abs/2305.08196