POST ON 2024-01-13 BY WOLVES

• 相关内容来自
  • https://blog.csdn.net/m0_61899108/article/details/132024941

Project Index

Paper Index

How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Image Domains

• 论文：https://arxiv.org/pdf/2306.13731.pdf
• 代码：https://github.com/xhu248/AutoSAM

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

• 论文：https://arxiv.org/abs/2306.06370

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

• 论文：https://arxiv.org/abs/2306.14289
• 代码：https://github.com/ChaoningZhang/MobileSAM

Segment Anything in High Quality

• 论文：https://arxiv.org/abs/2306.01567
• 代码：https://github.com/SysCV/SAM-HQ

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

• 论文：https://arxiv.org/abs/2207.10666
• 代码：https://github.com/wkcn/tinyvit

Fast Segment Anything

• 论文：https://arxiv.org/abs/2306.12156
• 代码：https://github.com/CASIA-IVA-Lab/FastSAM

SAM-IQA: Can Segment Anything Boost Image Quality Assessment?

• 论文：https://arxiv.org/abs/2307.04455
• 代码：https://github.com/Hedlen/SAM-IQA

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model

• 论文：https://arxiv.org/abs/2306.16269
• 代码：https://github.com/KyanChen/RSPrompter

SAMMed: A medical image annotation framework based on large vision model

• 论文：https://arxiv.org/abs/2307.05617

SAMAug: Point Prompt Augmentation for Segment Anything Model

• 论文：https://arxiv.org/abs/2307.01187

Semantic-SAM: Segment and Recognize Anything at Any Granularity

• 论文：https://arxiv.org/abs/2307.04767
• 代码：https://github.com/UX-Decoder/Semantic-SAM

SAM开源库 [0] dk-liang/Awesome-Segment-Anything

[1] liliu-avril/Awesome-Segment-Anything

[2] VainF/Awesome-Anything

[3] Hedlen/awesome-segment-anything

[4] Vision-Intelligence-and-Robots-Group/Awesome-Segment-Anything

[5] JerryX1110/awesome-segment-anything-extensions