Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
FEMOT: Multi-Object Tracking using Frame and Event Cameras
Conventional RGB cameras have been widely used in multi-object tracking due to their ability to capture rich appearance and semantic information. However, their performance is often degraded under complex real-world chal…
Multi-Object TrackingObject LocalizationMaking Foresight Actionable: Repurposing Representation Alignment in World Action Models
World Action Models (WAMs) offer a promising route for robot manipulation by using video generation models to model future scene evolution before producing control actions. However, our empirical observations reveal a ph…
Object LocalizationRobot ManipulationVideo GenerationSelf-Improving Small Object Grounding in LVLMs
Can internal attention patterns in Large Vision Language Models (LVLMs) identify reliable small-object boxes without fine-tuning? In this work, we provide an affirmative answer. Attention structure in LVLMs encodes groun…
Object LocalizationCAD-to-CT Registration of Cylindrical Objects via Ellipse-Based Axis Estimation
Accurate registration of CAD models to CT scans is essential for establishing ground truth geometry in volumetric imaging. Obtaining reliable object masks is of growing importance in machine learning settings; as recent …
Object LocalizationMoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts
Bounding-box regression is a fundamental component of object detection, playing a critical role in precise object localization. Existing Intersection-over-Union (IoU)-based loss functions extend the IoU objective by inco…
Object LocalizationObject DetectionFOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
In-context localization (ICL) seeks to localize a target object specified by a small set of support examples in a query image, operating on the fly without training or parameter updates. Despite rapid advances in vision-…
Reinforcement LearningObject LocalizationImage EditingPEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs
Foundation models are increasingly used to drive autonomous systems, yet existing approaches either keep the model in a tight control loop, raising latency and hallucination risk, or compile natural language into opaque …
Object LocalizationRePlan-Bot: Multi-Level Replanning for Embodied Instruction Following
Embodied instruction following (EIF) requires agents to understand and execute complex natural language commands within interactive 3D environments. Despite recent advances, existing methods often fail in long-horizon pl…
Instruction FollowingObject LocalizationTinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors
YOLO-series and DETR-based detectors struggle with tiny-object detection. YOLO-style models benefit from efficient dense prediction, but their large-stride backbones may suppress tiny instances in deep feature maps and m…
Object LocalizationObject DetectionMechanisms of Object Localization in Vision-Language Models
Visually-grounded language models (VLMs) are highly effective in linking visual and textual information, yet they often struggle with basic classification and localization tasks. While classification mechanisms have been…
Object LocalizationLearning Dynamic Structural Specialization for Underwater Salient Object Detection
Underwater salient object detection (USOD) has attracted increasing attention for underwater visual scene understanding and vision-guided robotic applications. However, existing USOD methods still struggle with underwate…
Salient Object DetectionObject LocalizationScene UnderstandingSceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization
In real-world scenes, target objects may reside in regions that are not visible. While humans can often infer the locations of occluded objects from context and commonsense knowledge, this capability remains a major chal…
Object LocalizationSpatial ReasoningERPPO: Entropy Regularization-based Proximal Policy Optimization
Multi-Agent Proximal Policy Optimization (MAPPO) is a variant of the Proximal Policy Optimization (PPO) algorithm, specifically tailored for multi-agent reinforcement learning (MARL). MAPPO optimizes cooperative multi-ag…
Multi-agent Reinforcement LearningObject LocalizationObject DetectionBARISTA: A Multi-Task Egocentric Benchmark for Compositional Visual Understanding
Scene understanding is central to general physical intelligence, and video is a primary modality for capturing both state and temporal dynamics of a scene. Yet understanding physical processes remains difficult, as model…
Visual Question AnsweringActivity RecognitionObject LocalizationScene UnderstandingCurvature-Aware Captioning:Leveraging Geodesic Attention for 3D Scene Understanding
Accurate 3D scene description is fundamental to robotic navigation and augmented reality, yet current dense captioning methods face significant limitations in processing sparse point cloud data. % Existing approaches tha…
Object LocalizationScene UnderstandingDense CaptioningLeveraging Previous-Traversal Point Cloud Map Priors for Camera-Based 3D Object Detection and Tracking
Camera-based 3D object detection and tracking are central to autonomous driving, yet precise 3D object localization remains fundamentally constrained by depth ambiguity when no expensive, depth-rich online LiDAR is avail…
Object Localization3D Object DetectionAutonomous DrivingEgocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance
Collision-free motion is often aided by tactile and proximity sensors distributed on the body of the robot due to their resistance to occlusion as opposed to external cameras. However, how to shape the sensor's propertie…
Reinforcement LearningObject LocalizationCollision AvoidanceFingerEye: Learning Dexterous Manipulation with Continuous Vision-Tactile Sensing
Dexterous robotic manipulation requires perception that remains informative from pre-contact approach to contact initiation and post-contact control. We introduce FingerEye, a sensing and learning framework that strength…
Object LocalizationDiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery
Diffusion models have emerged as powerful tools for a wide range of vision tasks, including text-guided image generation and editing. In this work, we explore their potential for object grounding in remote sensing imager…
Object LocalizationImage GenerationT-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability
Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak alignment between language and dense vision features, which hurts tasks like open-vocabulary semantic segmentation; and (2) h…
Semantic SegmentationObject LocalizationImage RetrievalScene Parsing