Papers Interactive Segmentation
“Interactive Segmentation” 태그가 달린 논문 306편 · 필터 해제
MOIS-SAM2: Exemplar-based Segment Anything Model 2 for multilesion interactive segmentation of neurofibromas in whole-body MRI
Background and Objectives: Neurofibromatosis type 1 is a genetic disorder characterized by the development of numerous neurofibromas (NFs) throughout the body. Whole-body MRI (WB-MRI) is the clinical standard for detecti…
Interactive SegmentationENSAM: an efficient foundation model for interactive segmentation of 3D medical images
We present ENSAM (Equivariant, Normalized, Segment Anything Model), a lightweight and promptable model for universal 3D medical image segmentation. ENSAM combines a SegResNet-based encoder with a prompt encoder and mask …
Medical Image SegmentationInteractive SegmentationMMMS: Multi-Modal Multi-Surface Interactive Segmentation
In this paper, we present a method to interactively create segmentation masks on the basis of user clicks. We pay particular attention to the segmentation of multiple surfaces that are simultaneously present in the same …
Interactive SegmentationViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operations
Industrial robotic systems are central to automating smart manufacturing operations. Connected and automated factories face growing cybersecurity risks that can potentially cause interruptions and damages to physical ope…
Interactive SegmentationIntrusion DetectionGaussian ProcessesP3-SAM: Native 3D Part Segmentation
Segmenting 3D assets into their constituent parts is crucial for enhancing 3D understanding, facilitating model reuse, and supporting various applications such as part generation. However, current methods face limitation…
Interactive SegmentationInstance Segmentation3D Part SegmentationMaybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation
Feature foundation models - usually vision transformers - offer rich semantic descriptors of images, useful for downstream tasks such as (interactive) segmentation and object detection. For computational efficiency these…
Interactive SegmentationComputational EfficiencyFeature UpsamplingObject DetectionTowards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
Whole-body PET/CT is a cornerstone of oncological imaging, yet accurate lesion segmentation remains challenging due to tracer heterogeneity, physiological uptake, and multi-center variability. While fully automated metho…
Interactive SegmentationLesion SegmentationSAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures
While the Segment Anything Model (SAM) transforms interactive segmentation with zero-shot abilities, its inherent vulnerabilities present a single-point risk, potentially leading to the failure of numerous downstream app…
Interactive SegmentationSAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
We present SAMSA 2.0, an interactive segmentation framework for hyperspectral medical imaging that introduces spectral angle prompting to guide the Segment Anything Model (SAM) using spectral similarity alongside spatial…
Medical Image SegmentationInteractive SegmentationSAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
Hyperspectral imaging (HSI) provides rich spectral information for medical imaging, yet encounters significant challenges due to data limitations and hardware variations. We introduce SAMSA, a novel interactive segmentat…
Medical Image SegmentationInteractive SegmentationZero-Shot Learningrt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding
Successful execution of dexterous robotic manipulation tasks in new environments, such as grasping, depends on the ability to proficiently segment unseen objects from the background and other objects. Previous works in u…
Unseen Object Instance SegmentationInteractive SegmentationObject SegmentationInter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive
Interactive segmentation (IS) improves annotation efficiency by segmenting target regions from user prompts, with widespread applications in real-world scenarios. Current approaches face a critical trade-off: dense-token…
CPUInteractive SegmentationMixture-of-ExpertsSeg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections
Reconstructing and segmenting scenes from unconstrained photo collections obtained from the Internet is a novel but challenging task. Unconstrained photo collections are easier to get than well-captured photo collections…
Interactive SegmentationSegmentationRAPS-3D: Efficient interactive segmentation for 3D radiological imaging
Promptable segmentation, introduced by the Segment Anything Model (SAM), is a promising approach for medical imaging, as it enables clinicians to guide and refine model predictions interactively. However, SAM's architect…
Interactive SegmentationManagementDC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
Interactive segmentation (IS) allows users to iteratively refine object boundaries with minimal cues, such as positive and negative clicks. While the Segment Anything Model (SAM) has garnered attention in the IS communit…
Camouflaged Object SegmentationInteractive SegmentationSegmentationSemantic Segmentation+1TSDASeg: A Two-Stage Model with Direct Alignment for Interactive Point Cloud Segmentation
The rapid advancement of 3D vision-language models (VLMs) has spurred significant interest in interactive point cloud processing tasks, particularly for real-world applications. However, existing methods often underperfo…
cross-modal alignmentInteractive SegmentationPoint Cloud SegmentationSegmentation+1SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
Foundation models for volumetric medical image segmentation have emerged as powerful tools in clinical workflows, enabling radiologists to delineate regions of interest through intuitive clicks. While these models demons…
Image SegmentationInteractive SegmentationMedical Image SegmentationSegmentation+2FocalClick-XL: Towards Unified and High-quality Interactive Segmentation
Interactive segmentation enables users to extract binary masks of target objects through simple interactions such as clicks, scribbles, and boxes. However, existing methods often support only limited interaction forms an…
Interactive SegmentationActive-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
Active vision, also known as active perception, refers to the process of actively selecting where and how to look in order to gather task-relevant information. It is a critical component of efficient perception and decis…
Autonomous DrivingDecision MakingInteractive SegmentationSmall Object DetectionZero-Shot Gaze-based Volumetric Medical Image Segmentation
Accurate segmentation of anatomical structures in volumetric medical images is crucial for clinical applications, including disease monitoring and cancer treatment planning. Contemporary interactive segmentation models, …
Image SegmentationInteractive SegmentationMedical Image SegmentationSegmentation+2