Segment Anything Model (SAM) 部分报告汇总

柴阳云
2023-12-01

随缘更新,很可能不全
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原始论文:


  • [link] [code] [Apr 9]
    Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
    SAM在WSI图像上的实验

  • [link] [code] [Apr 10]
    Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
    SAM在伪装目标检测上的实验

  • [link] [code] [Apr 12]
    SAM Struggles in Concealed Scenes – Empirical Study on “Segment Anything”
    SAM在更多伪装任务以及医学任务(息肉分割,脑肿瘤分割)的实验

  • [link] [code] [Apr 12] [ ✓ \checkmark ]
    Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
    SAM在更多现实分割任务(显著/伪装检测,医学分割,工业异常检测,遥感)的实验

  • [link] [code] [Apr 13] [ ✓ \checkmark ]
    Inpaint Anything: Segment Anything Meets Image Inpainting
    SAM与下游inpainting任务结合

  • [link] [code] [Apr 15]
    Can SAM Segment Polyps
    SAM在息肉分割上的实验

  • [link] [code] [Apr 17]
    When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
    SAM在肝分割上的实验

  • [link] [code] [Apr 18]
    Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks
    SAM在一些医学任务上的实验

  • [link] [code] [Apr 18] [ ✓ \checkmark ]
    SAM Fails to Segment Anything? – SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, and More
    如何finetune SAM

  • [link] [code] [Apr 21]
    Can SAM Count Anything? An Empirical Study on SAM Counting
    SAM在counting任务上的实验

  • [link] [code] [Apr 22] [ ✓ \checkmark ]
    Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
    SAM作为数据增强的手段

  • [link] [code] [Apr 24] [ ✓ \checkmark ]
    Segment Anything in Medical Images
    SAM+Box+Finetune以进行医学分割

  • [link] [code] [Apr 25]
    Segment anything, from space?
    SAM在遥感任务上的实验

  • [link] [code] [Apr 25]
    Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
    SAM+Prompt+Lora以进行医学分割

  • [link] [code] [Apr 25]
    Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation
    SAM在一些医学任务上的实验

  • [link] [code] [Apr 25]
    Application of Segment Anything Model for Civil Infrastructure Defect Assessment
    SAM在裂缝检测上的实验

  • [link] [code] [Apr 25]
    Segment Anything in 3D with NeRFs
    SAM在NeRF上的实验

  • [link] [code] [Apr 26] [ ✓ \checkmark ]
    Learnable Ophthalmology SAM
    SAM+Prompt在眼底上的实验

  • [link] [code] [Apr 26] [ ✓ \checkmark ]
    Customized Segment Anything Model for Medical Image Segmentation
    SAM+LoRA在医学上的实验

  • [link] [code] [Apr 28]
    SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective
    SAM在手术器械分割上的实验

  • [link] [code] [Apr 28]
    SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
    SAM在不同prompt下的性能比较

  • [link] [code] [Apr 28]
    Exploring the Zero-Shot Capabilities of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guideline
    SAM在医学任务上的实验

  • [link] [code] [Apr 29]
    Polyp-SAM: Transfer SAM for Polyp Segmentation
    Finetune SAM以获得SOTA性能

  • [link] [code] [Apr 29]
    Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
    SAM在透明物体/玻璃上的实验

  • [link] [code] [May 1]
    Attack-SAM: Towards Evaluating Adversarial Robustness of Segment Anything Model
    SAM与对抗攻击

  • [link] [code] [May 2]
    An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
    SAM与弱监督语义分割

  • [link] [code] [May 3]
    AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
    SAM在Audio-Visual Localization上的实验

  • [link] [code] [May 4] [ ✓ \checkmark ]
    Personalize Segment Anything Model with One Shot
    One Shot SAM

  • [link] [code] [May 5] [ ✓ \checkmark ]
    How Segment Anything Model (SAM) Boost Medical Image Segmentation?
    SAM在医学领域的综述

  • [link] [code] [May 9]
    Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation
    SAM用于增强弱监督分割

  • [link] [code] [May 10]
    An Empirical Study on the Robustness of the Segment Anything Model (SAM)
    SAM对图像扰动的鲁棒性

  • [link] [code] [May 11]
    Can SAM Boost Video Super-Resolution?
    SAM与视频超分辨率

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