Papers Segmentation
“Segmentation” 태그가 달린 논문 13,071편 · 필터 해제
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
Video Object Segmentation (VOS) is a core task in computer vision, requiring models to track and segment target objects across video frames. Despite notable advances with recent efforts, current techniques still lag behi…
ObjectSegmentationSemantic SegmentationVideo Object Segmentation+1Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction
Fetal lung maturity is a critical indicator for predicting neonatal outcomes and the need for post-natal intervention, especially for pregnancies affected by fetal growth restriction. Intra-voxel incoherent motion analys…
SegmentationDiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
Annotation variability remains a substantial challenge in medical image segmentation, stemming from ambiguous imaging boundaries and diverse clinical expertise. Traditional deep learning methods producing single determin…
Image SegmentationMedical Image SegmentationSegmentationSemantic SegmentationFrom Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation
Accurate segmentation of orbital bones in facial computed tomography (CT) images is essential for the creation of customized implants for reconstruction of defected orbital bones, particularly challenging due to the ambi…
Computed Tomography (CT)SegmentationUnleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusion
Accurate coronary artery segmentation is critical for computeraided diagnosis of coronary artery disease (CAD), yet it remains challenging due to the small size, complex morphology, and low contrast with surrounding tiss…
Coronary Artery SegmentationSegmentationSCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation
Most existing remote sensing instance segmentation approaches are designed for close-vocabulary prediction, limiting their ability to recognize novel categories or generalize across datasets. This restricts their applica…
Earth ObservationInstance SegmentationSegmentationSemantic SegmentationUnified Medical Image Segmentation with State Space Modeling Snake
Unified Medical Image Segmentation (UMIS) is critical for comprehensive anatomical assessment but faces challenges due to multi-scale structural heterogeneity. Conventional pixel-based approaches, lacking object-level an…
Image SegmentationMambaMedical Image SegmentationSegmentation+1A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
We propose a privacy-preserving semantic-segmentation method for applying perceptual encryption to images used for model training in addition to test images. This method also provides almost the same accuracy as models w…
Domain AdaptationPrivacy PreservingSegmentationSemantic SegmentationFORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks
Automated structural defect segmentation in civil infrastructure faces a critical challenge: achieving high accuracy while maintaining computational efficiency for real-time deployment. This paper presents FORTRESS (Func…
Computational EfficiencySegmentationAlleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Medical language-guided segmentation, integrating textual clinical reports as auxiliary guidance to enhance image segmentation, has demonstrated significant improvements over unimodal approaches. However, its inherent re…
Image SegmentationSegmentationSemantic SegmentationTransferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
Recent research has investigated the shape and texture biases of deep neural networks (DNNs) in image classification which influence their generalization capabilities and robustness. It has been shown that, in comparison…
image-classificationImage ClassificationSegmentationSemantic Segmentation+1A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers
Spacecraft deployed in outer space are routinely subjected to various forms of damage due to exposure to hazardous environments. In addition, there are significant risks to the subsequent process of in-space repairs thro…
Image SegmentationSegmentationSemantic SegmentationMemory-Augmented SAM2 for Training-Free Surgical Video Segmentation
Surgical video segmentation is a critical task in computer-assisted surgery, essential for enhancing surgical quality and patient outcomes. Recently, the Segment Anything Model 2 (SAM2) framework has demonstrated remarka…
SegmentationSemantic SegmentationVideo Object SegmentationVideo Segmentation+1An Efficient Approach for Muscle Segmentation and 3D Reconstruction Using Keypoint Tracking in MRI Scan
Magnetic resonance imaging (MRI) enables non-invasive, high-resolution analysis of muscle structures. However, automated segmentation remains limited by high computational costs, reliance on large training datasets, and …
3D ReconstructionOptical Flow EstimationSegmentationMUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation
The application of methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3D GS) have steadily gained popularity in the field of 3D object segmentation in static scenes. These approaches demonstrate ef…
NeRFObjectScene UnderstandingSegmentation+4Seg-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 SegmentationSegmentationBeyond Appearance: Geometric Cues for Robust Video Instance Segmentation
Video Instance Segmentation (VIS) fundamentally struggles with pervasive challenges including object occlusions, motion blur, and appearance variations during temporal association. To overcome these limitations, this wor…
Depth EstimationDepth PredictionInstance SegmentationMonocular Depth Estimation+4RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
Referring Remote Sensing Image Segmentation provides a flexible and fine-grained framework for remote sensing scene analysis via vision-language collaborative interpretation. Current approaches predominantly utilize a th…
cross-modal alignmentImage SegmentationSegmentationSemantic SegmentationI$^2$R: Inter and Intra-image Refinement in Few Shot Segmentation
The annotation bottleneck in semantic segmentation has driven significant interest in few-shot segmentation, which aims to develop segmentation models capable of generalizing rapidly to novel classes using minimal exempl…
SegmentationSemantic SegmentationJust Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations
Manual annotation of medical images is a labor-intensive and time-consuming process, posing a significant bottleneck in the development and deployment of robust medical imaging AI systems. This paper introduces a novel H…
Image SegmentationMedical Image SegmentationSegmentationSemantic Segmentation