Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
This work addresses the critical lack of precision in state estimation in the Kalman filter for 3D multi-object tracking (MOT) and the ongoing challenge of selecting the appropriate motion model. Existing literature comm…
3D Multi-Object TrackingMulti-Object TrackingMultiple Object TrackingNavigate+5Split Matching for Inductive Zero-shot Semantic Segmentation
Zero-shot Semantic Segmentation (ZSS) aims to segment categories that are not annotated during training. While fine-tuning vision-language models has achieved promising results, these models often overfit to seen categor…
Object LocalizationSemantic SegmentationZero-Shot Semantic SegmentationPro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in real applications. Current studies focus o…
Object LocalizationWeakly-Supervised Object LocalizationZero-shot GeneralizationEnhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling
Object localization in satellite imagery is particularly challenging due to the high variability of objects, low spatial resolution, and interference from noise and dominant features such as clouds and city lights. In th…
feature selectionObjectObject LocalizationLocate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
We present LOCATE 3D, a model for localizing objects in 3D scenes from referring expressions like "the small coffee table between the sofa and the lamp." LOCATE 3D sets a new state-of-the-art on standard referential grou…
DecoderObject LocalizationSelf-Supervised LearningExploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
Vision Foundation Models (VFMs) have become a de facto choice for many downstream vision tasks, like image classification, image segmentation, and object localization. However, they can also provide significant utility f…
3D Semantic Segmentationimage-classificationImage ClassificationImage Segmentation+2CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection
Wood defect detection is critical for ensuring quality control in the wood processing industry. However, current industrial applications face two major challenges: traditional methods are costly, subjective, and labor-in…
Computational EfficiencyDefect Detectionobject-detectionObject Detection+1Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers
Multi-object grounding in 3D scenes involves localizing multiple objects based on natural language input. While previous work has primarily focused on single-object grounding, real-world scenarios often demand the locali…
ObjectObject LocalizationFoundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
Multimodal large language models (MLLMs) have altered the landscape of computer vision, obtaining impressive results across a wide range of tasks, especially in zero-shot settings. Unfortunately, their strong performance…
BenchmarkingEarth ObservationImage CaptioningObject Localization+2SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
Sports video analysis is a key domain in computer vision, enabling detailed spatial understanding through multi-view correspondences. In this work, we introduce SoccerNet-v3D and ISSIA-3D, two enhanced and scalable datas…
Camera CalibrationObject LocalizationScene UnderstandingSports AnalyticsPOEM: Precise Object-level Editing via MLLM control
Diffusion models have significantly improved text-to-image generation, producing high-quality, realistic images from textual descriptions. Beyond generation, object-level image editing remains a challenging problem, requ…
Image GenerationObjectObject LocalizationText-based Image Editing+2MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing
We propose a unified framework that integrates object detection (OD) and visual grounding (VG) for remote sensing (RS) imagery. To support conventional OD and establish an intuitive prior for VG task, we fine-tune an ope…
Objectobject-detectionObject DetectionObject Localization+2PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
Weakly supervised object localization (WSOL) methods allow training models to classify images and localize ROIs. WSOL only requires low-cost image-class annotations yet provides a visually interpretable classifier, which…
image-classificationImage ClassificationObject LocalizationWeakly-Supervised Object LocalizationTexture or Semantics? Vision-Language Models Get Lost in Font Recognition
Modern Vision-Language Models (VLMs) exhibit remarkable visual and linguistic capabilities, achieving impressive performance in various tasks such as image recognition and object localization. However, their effectivenes…
Few-Shot LearningFont RecognitionObject LocalizationGLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection
The task of LiDAR-based 3D Open-Vocabulary Detection (3D OVD) requires the detector to learn to detect novel objects from point clouds without off-the-shelf training labels. Previous methods focus on the learning of obje…
Common Sense ReasoningObjectObject LocalizationBeyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding
Referring expression comprehension (REC) aims at achieving object localization based on natural language descriptions. However, existing REC approaches are constrained by object category descriptions and single-attribute…
AttributeObjectObject LocalizationReferring Expression+2xMOD: Cross-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 3D d…
Multi-object discoveryObjectObject DiscoveryObject LocalizationOmnidirectional Multi-Object Tracking
Panoramic imagery, with its 360{\deg} field of view, offers comprehensive information to support Multi-Object Tracking (MOT) in capturing spatial and temporal relationships of surrounding objects. However, most MOT algor…
Multi-Object TrackingObjectObject LocalizationObject TrackingDr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration
We introduce Dr. Splat, a novel approach for open-vocabulary 3D scene understanding leveraging 3D Gaussian Splatting. Unlike existing language-embedded 3DGS methods, which rely on a rendering process, our method directly…
3DGS3D Semantic SegmentationObject LocalizationQuantization+2CrossOver: 3D Scene Cross-Modal Alignment
Multi-modal 3D object understanding has gained significant attention, yet current approaches often assume complete data availability and rigid alignment across all modalities. We present CrossOver, a novel framework for …
cross-modal alignmentObjectObject LocalizationScene Understanding