Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Qwen2.5-VL Technical Report
We introduce Qwen2.5-VL, the latest flagship model of Qwen vision-language series, which demonstrates significant advancements in both foundational capabilities and innovative functionalities. Qwen2.5-VL achieves a major…
document understandingObject LocalizationVisual Question Answering (VQA)MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval
Accurately locating key moments within long videos is crucial for solving long video understanding (LVU) tasks. However, existing benchmarks are either severely limited in terms of video length and task diversity, or the…
Action RecognitionMoment RetrievalObject LocalizationRAG+2Auto-Prompting SAM for Weakly Supervised Landslide Extraction
Weakly supervised landslide extraction aims to identify landslide regions from remote sensing data using models trained with weak labels, particularly image-level labels. However, it is often challenged by the imprecise …
Landslide segmentationObject LocalizationPrompt EngineeringTeD-Loc: Text Distillation for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) using classification models trained with only image-class labels remains an important challenge in computer vision. Given their reliance on classification objectives, traditio…
ClassificationDenoisingMultiple Instance LearningObject Localization+2AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features
Monocular 3D object detection is a challenging task in autonomous systems due to the lack of explicit depth information in single-view images. Existing methods often depend on external depth estimators or expensive senso…
3D Object DetectionComputational EfficiencyMonocular 3D Object DetectionObject+4Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media
Tracking and acquiring simultaneous optical images of randomly moving targets obscured by scattering media remains a challenging problem of importance to many applications that require precise object localization and ide…
Computational EfficiencyImage ReconstructionObject LocalizationObject TrackingCross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion
Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains under-explored in …
Multi-object discoveryObjectObject DiscoveryObject LocalizationSilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization
Visual Language Models have demonstrated remarkable capabilities across tasks, including visual question answering and image captioning. However, most models rely on text-based instructions, limiting their effectiveness …
Image CaptioningMultimodal ReasoningObject LocalizationObject Recognition+2Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring
The integration of Large Vision-Language Models (LVLMs) such as OpenAI's GPT-4 Vision into various sectors has marked a significant evolution in the field of artificial intelligence, particularly in the analysis and inte…
Object LocalizationSuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians
3D Gaussian Splatting has recently gained traction for its efficient training and real-time rendering. While the vanilla Gaussian Splatting representation is mainly designed for view synthesis, more recent works investig…
GPUObject LocalizationScene UnderstandingSegmentation+13D Spatial Understanding in MLLMs: Disambiguation and Evaluation
Multimodal Large Language Models (MLLMs) have made significant progress in tasks such as image captioning and question answering. However, while these models can generate realistic captions, they often struggle with prov…
3D dense captioning3D visual groundingDense CaptioningImage Captioning+5Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial Environmental Representations for Vision-and-Language Navigation
Navigating unseen environments based on natural language instructions remains difficult for egocentric agents in Vision-and-Language Navigation (VLN). Existing approaches primarily rely on RGB images for environmental re…
Object LocalizationVision and Language NavigationVision-Language NavigationVisual NavigationRSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts
Remote Sensing Vision-Language Models (RS VLMs) have made much progress in the tasks of remote sensing (RS) image comprehension. While performing well in multi-modal reasoning and multi-turn conversations, the existing m…
Change DetectionImage ComprehensionInstruction FollowingLanguage Modeling+6SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding
3D Visual Grounding (3DVG) aims to locate objects in 3D scenes based on textual descriptions, essential for applications like augmented reality and robotics. Traditional 3DVG approaches rely on annotated 3D datasets and …
3D visual groundingObject LocalizationVisual GroundingGraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering
A vision transformer learns high-quality patch embeddings during the self-supervised training, which plays a crucial role in many unsupervised downstream tasks like object localization, object detection, and sparse seman…
AttributeClusteringObject LocalizationSegmentation+2RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations
We present RELOCATE, a simple training-free baseline designed to perform the challenging task of visual query localization in long videos. To eliminate the need for task-specific training and efficiently handle long vide…
Object LocalizationSpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
In this work, we present SpaRC, a novel Sparse fusion transformer for 3D perception that integrates multi-view image semantics with Radar and Camera point features. The fusion of radar and camera modalities has emerged a…
3D Multi-Object Tracking3D Object DetectionAutonomous DrivingDepth Estimation+3ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos
In this paper, we focus on the Ego-Exo Object Correspondence task, an emerging challenge in the field of computer vision that aims to map objects across ego-centric and exo-centric views. We introduce ObjectRelator, a no…
ObjectObject LocalizationRelationGloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation
Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli, the key functional units of the kidney, from whole slide images (WSIs) in kidney pathology. However, existing op…
Object Localizationwhole slide imagesProbing the Mid-level Vision Capabilities of Self-Supervised Learning
Mid-level vision capabilities - such as generic object localization and 3D geometric understanding - are not only fundamental to human vision but are also crucial for many real-world applications of computer vision. Thes…
Object LocalizationSelf-Supervised Learning