Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Spatial Preference Rewarding for MLLMs Spatial Understanding
Multimodal large language models~(MLLMs) have demonstrated promising spatial understanding capabilities, such as referencing and grounding object descriptions. Despite their successes, MLLMs still fall short in fine-grai…
Object LocalizationMSPL: Multi-Step Pseudo-Labeling for Open-Vocabulary Object Detection
Open-vocabulary object detection (OVD) aims to recognize and localize object categories beyond the training set. Recent approaches leverage vision-language models to generate pseudo-labels using image-text alignment, all…
Object LocalizationImage-text matchingScene UnderstandingObject DetectionPhysHSI: Towards a Real-World Generalizable and Natural Humanoid-Scene Interaction System
Deploying humanoid robots to interact with real-world environments--such as carrying objects or sitting on chairs--requires generalizable, lifelike motions and robust scene perception. Although prior approaches have adva…
Object LocalizationA Simple and Better Baseline for Visual Grounding
Visual grounding aims to predict the locations of target objects specified by textual descriptions. For this task with linguistic and visual modalities, there is a latest research line that focuses on only selecting the …
Object LocalizationVisual GroundingVisual Anomaly Detection for Reliable Robotic Implantation of Flexible Microelectrode Array
Flexible microelectrode (FME) implantation into brain cortex is challenging due to the deformable fiber-like structure of FME probe and the interaction with critical bio-tissue. To ensure reliability and safety, the impl…
Object LocalizationAnomaly DetectionSpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this limitation stems from a…
Reinforcement LearningObject LocalizationSpatial ReasoningGeometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields
Semantic distillation in radiance fields has spurred significant advances in open-vocabulary robot policies, e.g., in manipulation and navigation, founded on pretrained semantics from large vision models. While prior wor…
Object LocalizationPose EstimationSIMSplat: Language-Aligned 4D Gaussian Splatting for Driving Scenario Generation
Driving scene manipulation using real-world sensor data has emerged as a promising alternative to traditional driving simulators. Despite advances in language control and neural scene representations, existing methods tr…
Object LocalizationAnchor-free Cross-view Object Geo-localization with Gaussian Position Encoding and Cross-view Association
Most existing cross-view object geo-localization approaches adopt anchor-based paradigm. Although effective, such methods are inherently constrained by predefined anchors. To eliminate this dependency, we first propose a…
Object LocalizationGroundSight: Augmenting Vision-Language Models with Grounding Information and De-hallucination
We propose a method to improve Visual Question Answering (VQA) with Retrieval-Augmented Generation (RAG) by introducing text-grounded object localization. Rather than retrieving information based on the entire image, our…
Visual Question AnsweringObject LocalizationImage CroppingPoint-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
Vision-Language Models (VLMs) have demonstrated impressive world knowledge across a wide range of tasks, making them promising candidates for embodied reasoning applications. However, existing benchmarks primarily evalua…
Object LocalizationVisual GroundingColLab: A Collaborative Spatial Progressive Data Engine for Referring Expression Comprehension and Generation
Referring Expression Comprehension (REC) and Referring Expression Generation (REG) are fundamental tasks in multimodal understanding, supporting precise object localization through natural language. However, existing REC…
Referring expression generationMultimodal ReasoningObject LocalizationHyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection
RGB-thermal salient object detection (RGB-T SOD) aims to identify prominent objects by integrating complementary information from RGB and thermal modalities. However, learning the precise boundaries and complete objects …
Zero-shot GeneralizationSalient Object DetectionObject LocalizationPrompt EngineeringSimToken: A Simple Baseline for Referring Audio-Visual Segmentation
Referring Audio-Visual Segmentation (Ref-AVS) aims to segment specific objects in videos based on natural language expressions involving audio, vision, and text information. This task poses significant challenges in cros…
Object LocalizationReal-Time Detection and Tracking of Foreign Object Intrusions in Power Systems via Feature-Based Edge Intelligence
This paper presents a novel three-stage framework for real-time foreign object intrusion (FOI) detection and tracking in power transmission systems. The framework integrates: (1) a YOLOv7 segmentation model for fast and …
Multi-Object TrackingObject LocalizationMITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance
General-domain large multimodal models (LMMs) have achieved significant advances in various image-text tasks. However, their performance in the Intelligent Traffic Surveillance (ITS) domain remains limited due to the abs…
Object LocalizationObject CountingUnderstanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks
We propose RocketScience, an open-source contrastive VLM benchmark that tests for spatial relation understanding. It is comprised of entirely new real-world image-text pairs covering mostly relative spatial understanding…
Object LocalizationSpatial ReasoningOpenGuide: Assistive Object Retrieval in Indoor Spaces for Individuals with Visual Impairments
Indoor built environments like homes and offices often present complex and cluttered layouts that pose significant challenges for individuals who are blind or visually impaired, especially when performing tasks that invo…
Natural Language UnderstandingObject LocalizationHERO-VQL: Hierarchical, Egocentric and Robust Visual Query Localization
In this work, we tackle the egocentric visual query localization (VQL), where a model should localize the query object in a long-form egocentric video. Frequent and abrupt viewpoint changes in egocentric videos cause sig…
Object LocalizationObject RecognitionOmniTry: Virtual Try-On Anything without Masks
Virtual Try-ON (VTON) is a practical and widely-applied task, for which most of existing works focus on clothes. This paper presents OmniTry, a unified framework that extends VTON beyond garment to encompass any wearable…
Object LocalizationVirtual Try-on