Papers Instance Segmentation
“Instance Segmentation” 태그가 달린 논문 2,537편 · 필터 해제
TMI: Text-to-Image Meets Image-to-Image for Complementary Data Synthesis to Boost Long-Tailed Instance Segmentation
Large-vocabulary instance segmentation is constrained by long-tailed category distributions and fine-grained inter-class ambiguity. While data synthesis offers a promising alternative, current paradigms have complementar…
Instance SegmentationDeep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation
Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technology. Conventional semen evaluation, howev…
Instance SegmentationDeep Learning-Based Characterization of Detonation-Cell Size Distributions in Soot-Foil Records
The geometric size and regularity of detonation cells are key physical parameters for characterizing detonation waves. Traditional manual measurement of soot foils is time-consuming and subjective, while existing compute…
Instance SegmentationTransfer LearningTestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model
Test-Time Domain Adaptation (TTDA) aims to adapt Deep Neural Networks to distribution shifts using only streaming, unlabeled test data in real time. Current methods for semantic segmentation tasks suffer from critical li…
Source-Free Domain AdaptationSemantic SegmentationInstance SegmentationVision Non-Causal Trapezoidal Mamba: Eliminating Directional Scanning in Vision SSMs with Second-Order Dynamics
State Space Models (SSMs) have emerged as an alternative to Vision Transformers, yet most vision SSMs inherit directional token scanning from causal sequence modeling. While effective for sequential data, directional sca…
Instance SegmentationSemantic SegmentationObject LocalizationObject DetectionROBOCYCLE: Autonomous Dual-Arm Robotic Manipulation and Coordination for Recycling Applications
As urban waste volumes escalate and labor shortages intensify, automated waste sorting systems are becoming a necessity. However, current robotic solutions often struggle with the 3D perception and manipulation of transp…
Instance SegmentationPoint CloudsVisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval
Over 285 million people worldwide live with a visual impairment, for whom everyday tasks such as avoiding obstacles, locating personal belongings, recognizing familiar faces, or handling cash remain persistent obstacles …
Monocular Depth EstimationInstance SegmentationSpeech SynthesisFace DetectionScenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views
A 3D scene is understood through its objects, not the primitives that compose them. Yet feed-forward reconstruction methods output dense, unstructured sets of points or Gaussians, leaving object-level structure to be rec…
Instance SegmentationNovel View SynthesisSelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Instance segmentation of trees in forest LiDAR point clouds is constrained by label scarcity: A single hectare holds millions of points and hundreds of overlapping tree crowns, making manual annotation laborious, while a…
Instance SegmentationPoint CloudsEfficient Remote Sensing Instance Segmentation with Linear-Time State Space Distilled Visual Foundation Models
The computational complexity of Transformers scales quadratically with the number of tokens, which significantly constrains the efficiency of vision models, particularly recent ViT-based foundation models in dense predic…
Knowledge DistillationInstance SegmentationSemantic-Aware Generative Image Transmission for Resource-Constrained Visual IoT Systems
Resource-constrained visual Internet of Things (IoT) systems, such as edge cameras, unmanned sensing platforms, industrial inspection nodes, and remote monitoring sensors, often need to transmit task-relevant visual evid…
Instance SegmentationBeyond Aesthetics: Quantifying Information Loss in Turbid Scenes
Visibility in underwater environments degrades rapidly under turbid conditions, yet the effects on computer-vision models remain unclear. This issue is compounded by reliance on synthetic turbidity datasets, which may mi…
Instance SegmentationVision-Language Model Reasoning for Contextual Semantic Mapping in Intralogistics
Autonomous mobile robots operating in intralogistics environments rely on geometric maps for localization and navigation, but lack semantic understanding of objects and their contextual properties. We present a contextua…
Instance SegmentationCurvature-aware 3D length estimation of greenhouse cucumbers using RGB-D imaging and cubic spline arc-length integration
Commercial greenhouse cucumber production is graded by fruit length, which drives harvest scheduling, labour allocation, and logistics. Manual measurement with thread or caliper is accurate but infeasible at commercial s…
Instance SegmentationPrompting Diffusion Models for Zero-Shot Instance Segmentation
Several disruptive research directions have recently emerged in computer vision, including foundation models achieving previously unseen zero-shot performance in scene understanding, even interactively, and generative mo…
Interactive SegmentationInstance SegmentationScene UnderstandingModular Diffusion Models for Structured Visual Recognition
Traditional supervised methods for structured visual recognition tasks -- such as object detection, segmentation, and scene graph generation -- often produce deterministic, fixed outputs, limiting their ability to captur…
Scene Graph GenerationInstance SegmentationObject DetectionSparse Point-Guided Fusion of Supervised and Self-Supervised Learning Model for Seaweed Segmentation
The ocean plays a critical role in sustainable development, particularly in climate change mitigation. Among marine ecosystems, blue carbon ecosystems are recognized as important natural carbon sinks. In this context, th…
Self-Supervised LearningInstance SegmentationAutomatic ply-specific analyses of CFRP micrographs using shortest-path-based ply distinction
We present an automated approach to distinguish between ply instances in semantic segmentation masks of high-resolution carbon-fiber reinforced polymer micrographs. Interpreting the segmentation mask as a graph with pixe…
Semantic SegmentationInstance SegmentationVines-DB: An RGB image dataset for multi-species ornamental vine segmentation
The Vines-DB dataset contains 1,218 original high-resolution RGB images of seven ornamental vine species collected under field conditions at the Utah Agricultural Experiment Station's Greenville Research Farm in Logan, U…
Instance SegmentationData AugmentationInstance-Aware Knowledge Distillation for Semi-Supervised Learning of an On-Board Multi-Task Dense Prediction Model for Collision Avoidance System
Collision avoidance systems have evolved toward camera-based deep learning approaches for driving scene understanding. However, deployment in edge environments such as country clubs is constrained by limited computationa…
Monocular Depth EstimationKnowledge DistillationInstance SegmentationCollision Avoidance