Papers Interactive Segmentation
“Interactive Segmentation” 태그가 달린 논문 306편 · 필터 해제
HRSAM: Efficient Interactive Segmentation in High-Resolution Images
The Segment Anything Model (SAM) has advanced interactive segmentation but is limited by the high computational cost on high-resolution images. This requires downsampling to meet GPU constraints, sacrificing the fine-gra…
Data AugmentationGPUInteractive SegmentationSegmentation+1EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
Segment Anything Model (SAM) has attracted widespread attention for its superior interactive segmentation capabilities with visual prompts while lacking further exploration of text prompts. In this paper, we empirically …
Interactive SegmentationLanguage ModelingLanguage ModellingReferring Expression+2CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water Corals
Herein, we present CoDA, the Coral Dendroid structure Analyzer, a visual analytics suite that allows for the first time to investigate the ontogenetic morphological development of complex dendroid coral colonies, exempli…
Instance SegmentationInteractive SegmentationMorphological AnalysisSemantic SegmentationTraceNet: Segment one thing efficiently
Efficient single instance segmentation is essential for unlocking features in the mobile imaging applications, such as capture or editing. Existing on-the-fly mobile imaging applications scope the segmentation task to po…
Instance SegmentationInteractive SegmentationSegmentationSemantic SegmentationLearning from Exemplars for Interactive Image Segmentation
Interactive image segmentation enables users to interact minimally with a machine, facilitating the gradual refinement of the segmentation mask for a target of interest. Previous studies have demonstrated impressive perf…
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationVISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography
Medical image segmentation is a core component of precision medicine, and 3D computed tomography (CT) is one of the most important imaging techniques. A highly accurate and clinically applicable segmentation foundation m…
Computed Tomography (CT)Image SegmentationInteractive SegmentationMedical Image Segmentation+2FIRM: Flexible Interactive Reflection reMoval
Removing reflection from a single image is challenging due to the absence of general reflection priors. Although existing methods incorporate extensive user guidance for satisfactory performance, they often lack the flex…
Interactive SegmentationReflection RemovalReasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models
In this paper, we introduce a new task: Zero-Shot 3D Reasoning Segmentation for parts searching and localization for objects, which is a new paradigm to 3D segmentation that transcends limitations for previous category-s…
3D Instance Segmentation3D Semantic SegmentationAutonomous DrivingInstance Segmentation+5FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
The Segment Anything Model (SAM) marks a notable milestone in segmentation models, highlighted by its robust zero-shot capabilities and ability to handle diverse prompts. SAM follows a pipeline that separates interactive…
DecoderInteractive SegmentationObjectSegmentationStructured Click Control in Transformer-based Interactive Segmentation
Click-point-based interactive segmentation has received widespread attention due to its efficiency. However, it's hard for existing algorithms to obtain precise and robust responses after multiple clicks. In this case, t…
Interactive SegmentationSegmentationGraCo: Granularity-Controllable Interactive Segmentation
Interactive Segmentation (IS) segments specific objects or parts in the image according to user input. Current IS pipelines fall into two categories: single-granularity output and multi-granularity output. The latter aim…
Interactive SegmentationSegmentationClicks2Line: Using Lines for Interactive Image Segmentation
For click-based interactive segmentation methods, reducing the number of clicks required to obtain a desired segmentation result is essential. Although recent click-based methods yield decent segmentation results, we obs…
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationMFP: Making Full Use of Probability Maps for Interactive Image Segmentation
In recent interactive segmentation algorithms, previous probability maps are used as network input to help predictions in the current segmentation round. However, despite the utilization of previous masks, useful informa…
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationDoes SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
We introduce an assessment procedure for interactive segmentation models. Based on concepts from Bayesian Experimental Design, the procedure measures a model's understanding of point prompts and their correspondence with…
Experimental DesignImage SegmentationInteractive SegmentationSegmentation+1PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
In this paper, we present PRISM, a Promptable and Robust Interactive Segmentation Model, aiming for precise segmentation of 3D medical images. PRISM accepts various visual inputs, including points, boxes, and scribbles a…
Interactive SegmentationPrompt EngineeringSegmentationTumor SegmentationAdapting the Segment Anything Model During Usage in Novel Situations
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct segmentation consists in clicks on the …
Interactive SegmentationObjectSegmentationSemantic SegmentationiSeg: Interactive 3D Segmentation via Interactive Attention
We present iSeg, a new interactive technique for segmenting 3D shapes. Previous works have focused mainly on leveraging pre-trained 2D foundation models for 3D segmentation based on text. However, text may be insufficien…
Interactive SegmentationSegmentationRethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
Interactive segmentation plays a crucial role in accelerating the annotation, particularly in domains requiring specialized expertise such as nuclear medicine. For example, annotating lesions in whole-body Positron Emiss…
Interactive SegmentationSegmentationRethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
The goal of interactive image segmentation is to delineate specific regions within an image via visual or language prompts. Low-latency and high-quality interactive segmentation with diverse prompts remain challenging fo…
Image SegmentationInteractive SegmentationSegmentationSemantic SegmentationClustering Propagation for Universal Medical Image Segmentation
Prominent solutions for medical image segmentation are typically tailored for automatic or interactive setups, posing challenges in facilitating progress achieved in one task to another.$_{\!}$ This$_{\!}$ also$_{\!}$ ne…
ClusteringImage SegmentationInteractive SegmentationMedical Image Segmentation+2