Papers Interactive Segmentation
“Interactive Segmentation” 태그가 달린 논문 306편 · 필터 해제
LIMIS: Towards Language-based Interactive Medical Image Segmentation
Within this work, we introduce LIMIS: The first purely language-based interactive medical image segmentation model. We achieve this by adapting Grounded SAM to the medical domain and designing a language-based model inte…
Image SegmentationInteractive SegmentationMedical Image SegmentationSegmentation+1Order-aware Interactive Segmentation
Interactive segmentation aims to accurately segment target objects with minimal user interactions. However, current methods often fail to accurately separate target objects from the background, due to a limited understan…
Interactive SegmentationSegmentationRClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
The emergence of Segment Anything (SAM) sparked research interest in the field of interactive segmentation, especially in the context of image editing tasks and speeding up data annotation. Unlike common semantic segment…
BenchmarkingInteractive SegmentationSegmentationSemantic SegmentationUnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
Image segmentation is a crucial vision task that groups pixels within an image into semantically meaningful segments, which is pivotal in obtaining a fine-grained understanding of real-world scenes. However, an increasin…
AllBilevel OptimizationImage SegmentationInteractive Segmentation+2Interactive4D: Interactive 4D LiDAR Segmentation
Interactive segmentation has an important role in facilitating the annotation process of future LiDAR datasets. Existing approaches sequentially segment individual objects at each LiDAR scan, repeating the process throug…
Interactive SegmentationSegmentationTowards Natural Image Matting in the Wild via Real-Scenario Prior
Recent approaches attempt to adapt powerful interactive segmentation models, such as SAM, to interactive matting and fine-tune the models based on synthetic matting datasets. However, models trained on synthetic data fai…
DecoderImage MattingInteractive SegmentationSemantic SegmentationImage Segmentation in Foundation Model Era: A Survey
Image segmentation is a long-standing challenge in computer vision, studied continuously over several decades, as evidenced by seminal algorithms such as N-Cut, FCN, and MaskFormer. With the advent of foundation models (…
Image SegmentationInstance SegmentationInteractive SegmentationPanoptic Segmentation+3SAM-REF: Rethinking Image-Prompt Synergy for Refinement in Segment Anything
The advent of the Segment Anything Model (SAM) marks a significant milestone for interactive segmentation using generalist models. As a late fusion model, SAM extracts image embeddings once and merges them with prompts i…
Interactive SegmentationClickAttention: Click Region Similarity Guided Interactive Segmentation
Interactive segmentation algorithms based on click points have garnered significant attention from researchers in recent years. However, existing studies typically use sparse click maps as model inputs to segment specifi…
Interactive SegmentationPRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound
Placenta volume measured from 3D ultrasound (3DUS) images is an important tool for tracking the growth trajectory and is associated with pregnancy outcomes. Manual segmentation is the gold standard, but it is time-consum…
Interactive SegmentationPlacenta SegmentationSegmentationSAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
The recent Segment Anything Model (SAM) 2 has demonstrated remarkable foundational competence in semantic segmentation, with its memory mechanism and mask decoder further addressing challenges in video tracking and objec…
DecoderInteractive SegmentationSegmentationSemantic Segmentation+3Embodied Uncertainty-Aware Object Segmentation
We introduce uncertainty-aware object instance segmentation (UncOS) and demonstrate its usefulness for embodied interactive segmentation. To deal with uncertainty in robot perception, we propose a method for generating a…
Instance SegmentationInteractive SegmentationObjectSegmentation+1Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation
Fully supervised deep learning (DL) models for surgical video segmentation have been shown to struggle with non-adversarial, real-world corruptions of image quality including smoke, bleeding, and low illumination. Founda…
Adversarial RobustnessImage SegmentationInteractive SegmentationNon-Adversarial Robustness+5Scribble-Based Interactive Segmentation of Medical Hyperspectral Images
Hyperspectral imaging (HSI) is an advanced medical imaging modality that captures optical data across a broad spectral range, providing novel insights into the biochemical composition of tissues. HSI may enable precise d…
Deep LearningInteractive SegmentationSegmentationMedical SAM 2: Segment medical images as video via Segment Anything Model 2
Medical image segmentation plays a pivotal role in clinical diagnostics and treatment planning, yet existing models often face challenges in generalization and in handling both 2D and 3D data uniformly. In this paper, we…
Image SegmentationInteractive SegmentationMedical Image SegmentationObject Tracking+4Scale Disparity of Instances in Interactive Point Cloud Segmentation
Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, therefore significantly reducing the effort…
Instance SegmentationInteractive SegmentationPoint Cloud SegmentationSegmentation+1FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification
Accurate segmentation of anatomical structures and pathological regions in medical images is crucial for diagnosis, treatment planning, and disease monitoring. While the Segment Anything Model (SAM) and its variants have…
CPUDomain AdaptationGPUImage Segmentation+7Click-Gaussian: Interactive Segmentation to Any 3D Gaussians
Interactive segmentation of 3D Gaussians opens a great opportunity for real-time manipulation of 3D scenes thanks to the real-time rendering capability of 3D Gaussian Splatting. However, the current methods suffer from t…
Interactive SegmentationSegmentationWSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation
In this paper we introduce a new dataset containing instance segmentation masks for ten different categories of winter sports equipment, called WSESeg (Winter Sports Equipment Segmentation). Furthermore, we carry out int…
Instance SegmentationInteractive SegmentationSegmentationSemantic SegmentationInteractive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
Placenta volume measurement from 3D ultrasound images is critical for predicting pregnancy outcomes, and manual annotation is the gold standard. However, such manual annotation is expensive and time-consuming. Automated …
Interactive SegmentationPlacenta SegmentationSegmentation