Papers Instance Segmentation
“Instance Segmentation” 태그가 달린 논문 2,537편 · 필터 해제
Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft Inspection
Spaceborne inspection systems often deploy perception models prior to launch, after which updating model weights or expanding fixed label sets becomes operationally impractical. While supervised models can be integrated …
Instance SegmentationMooMIns -- Monocular 3D Reconstruction and Object Pose Estimation from Multiple Instances
Simultaneous 3D reconstruction and 6D object pose estimation from a single monocular image is an inherently ill-posed problem. In industrial settings, however, multiple instances of an object are often randomly arranged …
Monocular Depth EstimationInstance Segmentation3D ReconstructionPose EstimationDIMOS: Disentangling Instance-level Moving Object Segmentation
Moving instance segmentation (MIS) attracts increasing attention due to its broad applications in traffic surveillance, autonomous driving, and animal tracking. Event cameras record asynchronous brightness changes, provi…
Instance SegmentationObject SegmentationAutonomous DrivingA Turbo-Inference Strategy for Object Detection and Instance Segmentation
Object detection and instance segmentation tasks are closely related. Existing top-down instance segmentation methods usually follow a detect-then-segment paradigm, where an initial detector is used to recognize and loca…
Instance SegmentationObject DetectionZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing
Remote-sensing and UAV applications need models that generalize across platforms and viewpoints without task-specific training. Yet training-free pipelines often falter on oriented geometry, scale/rotation variation, and…
Instance SegmentationMaximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching
Reliable evaluation of instance segmentation models requires metrics that accurately and consistently reflect segmentation quality. However, the metrics most widely used in biological imaging carry fundamental mathematic…
Instance SegmentationAqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer
Underwater instance segmentation integrates pixel-level mask prediction and instance-level discrimination for marine resource exploration, ecological monitoring, and underwater robotic perception. Recent prompt-based and…
Instance SegmentationSegmentAnyTreeV2: Scaling Transformer-Based Tree Instance Segmentation Across Sensors, Platforms, and Forests
We present SegmentAnyTreeV2, a sensor- and platform-agnostic framework for semantic and instance segmentation of forest point clouds. The model combines a serialization-based Point Transformer v3 backbone with a lightwei…
Domain GeneralizationInstance SegmentationPoint CloudsUltralytics YOLO26: Unified Real-Time End-to-End Vision Models
Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum su…
Instance SegmentationPose EstimationSeg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation
Autonomous systems require robust Multi-Object Tracking and Segmentation (MOTS) to operate reliably in dynamic environments, ensuring consistent object identities and precise mask-level delineation. Foundation models suc…
Multi-Object Tracking and SegmentationZero-shot GeneralizationInstance SegmentationForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the complex 3D structure of forests into actionable information for forest monitoring…
Point Cloud SegmentationInstance SegmentationPoint CloudsParameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
Research and applications in artificial intelligence have recently shifted with the rise of large pretrained models, which deliver state-of-the-art results across numerous tasks. However, the substantial increase in para…
parameter-efficient fine-tuningInstance SegmentationTransfer LearningAVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
Audio-visual speaker tracking aims to localize and track active speakers by leveraging auditory and visual cues, enabling fine-grained, human-centric scene understanding. This capability is essential for real-world appli…
Instance SegmentationScene UnderstandingVisual TrackingSAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
The morphological analysis of mitochondria in fluorescence microscopy (FM) is crucial for understanding cellular health, energy production, and metabolic regulation. While foundation models like the Segment Anything Mode…
Instance SegmentationImage SegmentationOne Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
Cell instance segmentation models trained on cell-specific datasets suffer severe performance drops on out-of-distribution cell types, while interactive foundation models overcome this through per-instance prompting at a…
Interactive SegmentationInstance SegmentationMORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations
Instance-level quantification of kidney functional units is essential for morphometric analysis, yet most publicly available pathology datasets provide only semantic segmentation annotations, where adjacent structures of…
Semantic SegmentationInstance SegmentationSteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
This dataset provides high-resolution, annotated video sequences of shredded E40-grade steel and copper scrap on a conveyor belt. Captured in a controlled laboratory environment, the data reflects the industrial post-mag…
Instance SegmentationObject DetectionPixel-Level Pavement Distress Assessment Using Instance Segmentation
Automated pavement distress assessment requires more than image-level classification or coarse bounding box detection, demanding precise localization of thin, branching, and irregular cracks to achieve the geometric prec…
Instance SegmentationInstructSAM: Segment Any Instance with Any Instructions
In this paper, we introduce InstructSAM, a unified and streamlined framework designed for multi-instance segmentation under arbitrary instructions. We formulates instruction-driven instance segmentation as a set-structur…
Instance SegmentationJoint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery
We present a method for jointly predicting instance-level roof segment masks together with three continuous geometric attributes -- building height, roof slope, and roof azimuth -- from a single aerial orthophoto. Our ap…
Instance Segmentation