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Visual Localization
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Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Evaluating Attribute Confusion in Fashion Text-to-Image Generation
MatChA: Cross-Algorithm Matching with Feature Augmentation
OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles
Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer
Deep Learning Reforms Image Matching: A Survey and Outlook
Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPU
To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models
LiftFeat: 3D Geometry-Aware Local Feature Matching
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment
GSFeatLoc: Visual Localization Using Feature Correspondence on 3D Gaussian Splatting
Visual Re-Ranking with Non-Visual Side Information
Re-thinking Temporal Search for Long-Form Video Understanding
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds
Scene-agnostic Pose Regression for Visual Localization
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning
LightLoc: Learning Outdoor LiDAR Localization at Light Speed
A-SCoRe: Attention-based Scene Coordinate Regression for wide-ranging scenarios
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark
NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features
Image-Based Relocalization and Alignment for Long-Term Monitoring of Dynamic Underwater Environments
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization
MegaLoc: One Retrieval to Place Them All
3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments
Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning
Visual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
ConDo: Continual Domain Expansion for Absolute Pose Regression
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
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