Papers Visual Localization
“Visual Localization” 태그가 달린 논문 494편 · 필터 해제
3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments
The field of visual localization has been researched for several decades and has meanwhile found many practical applications. Despite the strong progress in this field, there are still challenging situations in which est…
3DGSVisual LocalizationImit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning
Visuomotor imitation learning enables embodied agents to effectively acquire manipulation skills from video demonstrations and robot proprioception. However, as scene complexity and visual distractions increase, existing…
Imitation LearningVisual LocalizationVisual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection
Inspection systems utilizing unmanned aerial vehicles (UAVs) equipped with thermal cameras are increasingly popular for the maintenance of photovoltaic (PV) power plants. However, automation of the inspection task is a c…
Object TrackingVisual LocalizationGS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement (CPR) framework, GS-CPR. This framework enhances the localization accuracy of state-of-the-art absol…
3DGSNeRFPose Estimationregression+1FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis
Object Referring Analysis (ORA), commonly known as referring expression comprehension, requires the identification and localization of specific objects in an image based on natural descriptions. Unlike generic object det…
Bayesian InferenceLanguage ModelingLanguage ModellingObject+4Training Medical Large Vision-Language Models with Abnormal-Aware Feedback
Existing Medical Large Vision-Language Models (Med-LVLMs), which encapsulate extensive medical knowledge, demonstrate excellent capabilities in understanding medical images and responding to human queries based on these …
Anomaly DetectionVisual LocalizationR-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
Learning-based visual localization methods that use scene coordinate regression (SCR) offer the advantage of smaller map sizes. However, on datasets with complex illumination changes or image-level ambiguities, it remain…
Data AugmentationVisual LocalizationCroCoDL: Cross-device Collaborative Dataset for Localization
Accurate localization plays a pivotal role in the autonomy of systems operating in unfamiliar environments, particularly when interaction with humans is expected. High-accuracy visual localization systems encompass v…
BenchmarkingPose EstimationVisual LocalizationGaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization
Visual localization is the task of estimating a camera pose in a known environment. In this paper, we utilize 3D Gaussian Splatting (3DGS)-based representations for accurate and privacy-preserving visual localization…
3DGSPrivacy PreservingRepresentation LearningVisual LocalizationGPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes
Visual localization, the task of determining the position and orientation of a camera, typically involves three core components: offline construction of a keyframe database, efficient online keyframes retrieval, and …
Visual LocalizationConDo: Continual Domain Expansion for Absolute Pose Regression
Visual localization is a fundamental machine learning problem. Absolute Pose Regression (APR) trains a scene-dependent model to efficiently map an input image to the camera pose in a pre-defined scene. However, many appl…
Domain AdaptationregressionUnsupervised Domain AdaptationVisual LocalizationReloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their …
Pose EstimationVisual LocalizationEnhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
Scene Coordinate Regression (SCR) is a visual localization technique that utilizes deep neural networks (DNN) to directly regress 2D-3D correspondences for camera pose estimation. However, current SCR methods often face …
Camera Pose EstimationComputational EfficiencyKeypoint DetectionPose Estimation+1Mutli-View 3D Reconstruction using Knowledge Distillation
Large Foundation Models like Dust3r can produce high quality outputs such as pointmaps, camera intrinsics, and depth estimation, given stereo-image pairs as input. However, the application of these outputs on tasks like …
3D ReconstructionDepth EstimationKnowledge DistillationVisual LocalizationUnleashing the Power of Data Synthesis in Visual Localization
Visual localization, which estimates a camera's pose within a known scene, is a long-standing challenge in vision and robotics. Recent end-to-end methods that directly regress camera poses from query images have gained a…
DeblurringVisual LocalizationPEnG: Pose-Enhanced Geo-Localisation
Cross-view Geo-localisation is typically performed at a coarse granularity, because densely sampled satellite image patches overlap heavily. This heavy overlap would make disambiguating patches very challenging. However,…
Camera LocalizationCross-View Geo-Localisationgeo-localizationImage Retrieval+6OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance
OpenStreetMap (OSM), a rich and versatile source of volunteered geographic information (VGI), facilitates human self-localization and scene understanding by integrating nearby visual observations with vectorized map data…
Depth EstimationMonocular Depth EstimationScene UnderstandingVisual LocalizationYOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras
Using ceiling-mounted cameras (CMCs) for indoor visual capturing opens up a wide range of applications. However , registering CMCs to the target scene layout presents a challenging task. While manual registration with sp…
Visual LocalizationLoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment
We propose a new method named LoD-Loc for visual localization in the air. Unlike existing localization algorithms, LoD-Loc does not rely on complex 3D representations and can estimate the pose of an Unmanned Aerial Vehic…
Visual LocalizationLeveraging Spatial Attention and Edge Context for Optimized Feature Selection in Visual Localization
Visual localization determines an agent's precise position and orientation within an environment using visual data. It has become a critical task in the field of robotics, particularly in applications such as autonomous …
Autonomous NavigationEdge Detectionfeature selectionVisual Localization