Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm
Recent salient object detection (SOD) models predominantly rely on heavyweight backbones, incurring substantial computational cost and hindering their practical application in various real-world settings, particularly on…
Video Salient Object DetectionObject LocalizationSynthetic Data-Driven Multi-Architecture Framework for Automated Polyp Segmentation Through Integrated Detection and Mask Generation
Colonoscopy is a vital tool for the early diagnosis of colorectal cancer, which is one of the main causes of cancer-related mortality globally; hence, it is deemed an essential technique for the prevention and early dete…
Synthetic Data GenerationObject LocalizationPolyp SegmentationTRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring
Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) reduces annotation workload by using an un…
Scene Graph GenerationObject Localization$NavA^3$: Understanding Any Instruction, Navigating Anywhere, Finding Anything
Embodied navigation is a fundamental capability of embodied intelligence, enabling robots to move and interact within physical environments. However, existing navigation tasks primarily focus on predefined object navigat…
Instruction FollowingObject LocalizationSeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models
Entrusted with the goal of pixel-level object classification, the semantic segmentation networks entail the laborious preparation of pixel-level annotation masks. To obtain pixel-level annotation masks for a given class …
Semantic SegmentationObject LocalizationInterpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention
We propose Reverse Contrast Attention (RCA), a plug-in method that enhances object localization in vision-language transformers without retraining. RCA reweights final-layer attention by suppressing extremes and amplifyi…
Object LocalizationObject DetectionQuerying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet
Autonomous vehicles generate massive volumes of point cloud data, yet only a subset is relevant for specific tasks such as collision detection, traffic analysis, or congestion monitoring. Effectively querying this data i…
Object LocalizationAutonomous VehiclesObject CountingPoint CloudsReal-Time Fusion of Visual and Chart Data for Enhanced Maritime Vision
This paper presents a novel approach to enhancing marine vision by fusing real-time visual data with chart information. Our system overlays nautical chart data onto live video feeds by accurately matching detected naviga…
Object LocalizationTraceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology
Models like OpenAI-o3 pioneer visual grounded reasoning by dynamically referencing visual regions, just like human "thinking with images". However, no benchmark exists to evaluate these capabilities holistically. To brid…
Reinforcement LearningObject LocalizationMask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval
Text-to-image retrieval (TIR) aims to find relevant images based on a textual query, but existing approaches are primarily based on whole-image captions and lack interpretability. Meanwhile, referring expression segmenta…
Cross-Modal RetrievalImage CaptioningImage RetrievalLarge Language Model+9VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
3D Gaussian Splatting (3DGS) has become horsepower in high-quality, real-time rendering for novel view synthesis of 3D scenes. However, existing methods focus primarily on geometric and appearance modeling, lacking deepe…
3DGSInstance SegmentationNovel View SynthesisObject Localization+2RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base
Accurate 6D pose estimation is key for robotic manipulation, enabling precise object localization for tasks like grasping. We present RAG-6DPose, a retrieval-augmented approach that leverages 3D CAD models as a knowledge…
6D Pose EstimationObject LocalizationPose EstimationRAG+1CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion
Diffusion Policy (DP) enables robots to learn complex behaviors by imitating expert demonstrations through action diffusion. However, in practical applications, hardware limitations often degrade data quality, while real…
Object LocalizationUAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-reference…
3D Reconstructionobject-detectionObject DetectionObject LocalizationWoMAP: World Models For Embodied Open-Vocabulary Object Localization
Language-instructed active object localization is a critical challenge for robots, requiring efficient exploration of partially observable environments. However, state-of-the-art approaches either struggle to generalize …
Active Object LocalizationEfficient ExplorationImitation LearningObject+1Multispectral Detection Transformer with Infrared-Centric Sensor Fusion
Multispectral object detection aims to leverage complementary information from visible (RGB) and infrared (IR) modalities to enable robust performance under diverse environmental conditions. In this letter, we propose IC…
Multispectral Object DetectionObjectobject-detectionObject Detection+2Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels
This work presents a simple yet effective workflow for automatically scaling instruction-following data to elicit pixel-level grounding capabilities of VLMs under complex instructions. In particular, we address five crit…
Instruction FollowingKnowledge DistillationObject LocalizationTowards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method
Omnidirectional images (ODIs), with their 360{\deg} field of view, provide unparalleled spatial awareness for immersive applications like augmented reality and embodied AI. However, the capability of existing multi-modal…
HallucinationObject LocalizationQuestion AnsweringVisual Question AnsweringPointArena: Probing Multimodal Grounding Through Language-Guided Pointing
Pointing serves as a fundamental and intuitive mechanism for grounding language within visual contexts, with applications spanning robotics, assistive technologies, and interactive AI systems. While recent multimodal mod…
Object LocalizationExtending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
The Large Visual-Language Models (LVLMs) have significantly advanced image understanding. Their comprehension and reasoning capabilities enable promising applications in autonomous driving scenarios. However, existing re…
3D visual groundingAutonomous DrivingLanguage ModelingLanguage Modelling+3