Papers Interactive Segmentation
“Interactive Segmentation” 태그가 달린 논문 306편 · 필터 해제
MedicoSAM: Towards foundation models for medical image segmentation
Medical image segmentation is an important analysis task in clinical practice and research. Deep learning has massively advanced the field, but current approaches are mostly based on models trained for a specific task. T…
Image SegmentationInteractive SegmentationMedical Image SegmentationSegmentation+2SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts
In this paper, we present a novel architecture for interactive segmentation in winter sports contexts. The field of interactive segmentation deals with the prediction of high-quality segmentation masks by informing the n…
Interactive SegmentationSegmentationEvidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
Accurate and robust ultrasound image segmentation is critical for computer-aided diagnostic systems. Nevertheless, the inherent challenges of ultrasound imaging, such as blurry boundaries and speckle noise, often cause t…
DiagnosticImage SegmentationInteractive SegmentationSegmentation+1VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain gaps and clinical use cases f…
Interactive SegmentationSegmentationSAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
Interactive segmentation is to segment the mask of the target object according to the user's interactive prompts. There are two mainstream strategies: early fusion and late fusion. Current specialist models utilize t…
Interactive SegmentationNTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks
Interactive segmentation is a pivotal task in computer vision, focused on predicting precise masks with minimal user input. Although the click has recently become the most prevalent form of interaction due to its fle…
Interactive SegmentationSegmentationVerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation
Despite the advances in learning-based image segmentation approach, the accurate segmentation of cardiac structures from magnetic resonance imaging (MRI) remains a critical challenge. While existing automatic segmentatio…
Image SegmentationInteractive SegmentationMRI segmentationSegmentation+1MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
Medical researchers and clinicians often need to perform novel segmentation tasks on a set of related images. Existing methods for segmenting a new dataset are either interactive, requiring substantial human effort for e…
Interactive SegmentationSegmentationTSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views
Recent advances in Gaussian Splatting have significantly advanced the field, achieving both panoptic and interactive segmentation of 3D scenes. However, existing methodologies often overlook the critical need for reconst…
Interactive SegmentationNovel View SynthesisSPT: Sequence Prompt Transformer for Interactive Image Segmentation
Interactive segmentation aims to extract objects of interest from an image based on user-provided clicks. In real-world applications, there is often a need to segment a series of images featuring the same target object. …
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationLightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion
In medical imaging, precise annotation of lesions or organs is often required. However, 3D volumetric images typically consist of hundreds or thousands of slices, making the annotation process extremely time-consuming an…
GPUImage SegmentationInteractive SegmentationMedical Image Segmentation+3Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects
Image segmentation foundation models (SFMs) like Segment Anything Model (SAM) have achieved impressive zero-shot and interactive segmentation across diverse domains. However, they struggle to segment objects with certain…
Image SegmentationInteractive SegmentationSegmentationSemantic Segmentation+1Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine
In medical image analysis, achieving fast, efficient, and accurate segmentation is essential for automated diagnosis and treatment. Although recent advancements in deep learning have significantly improved segmentation a…
Interactive SegmentationMedical Image AnalysisSegmentationCellPilot
Histopathology, the microscopic study of diseased tissue, is increasingly digitized, enabling improved visualization and streamlined workflows. An important task in histopathology is the segmentation of cells and glands,…
DiagnosticInteractive SegmentationSegmentationSPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Medical image segmentation data inherently contain uncertainty, often stemming from both imperfect image quality and variability in labeling preferences on ambiguous pixels, which depend on annotators' expertise and the …
Image SegmentationInteractive SegmentationMedical Image SegmentationSegmentation+1Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
Interactive Medical Image Segmentation (IMIS) has long been constrained by the limited availability of large-scale, diverse, and densely annotated datasets, which hinders model generalization and consistent evaluation ac…
Image SegmentationInteractive SegmentationMedical Image SegmentationObject Recognition+2Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
Recent progress in interactive point prompt based Image Segmentation allows to significantly reduce the manual effort to obtain high quality semantic labels. State-of-the-art unsupervised methods use self-supervised pre-…
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationRadioActive: 3D Radiological Interactive Segmentation Benchmark
Effortless and precise segmentation with minimal clinician effort could greatly streamline clinical workflows. Recent interactive segmentation models, inspired by METAs Segment Anything, have made significant progress bu…
Interactive SegmentationSegmentationGaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting
We introduce GaussianCut, a new method for interactive multiview segmentation of scenes represented as 3D Gaussians. Our approach allows for selecting the objects to be segmented by interacting with a single view. It acc…
3DGSgraph constructionInteractive SegmentationSegmentation+2SAMPart3D: Segment Any Part in 3D Objects
3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role in applications such as robotics, 3D generation, and 3D editing. Recent methods harness the powerful Vision Language Models (V…
3D Generation3D Part SegmentationInteractive SegmentationKnowledge Distillation+1