SOTAVerified

Visual Localization

Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.

Source: Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 402 papers

TitleStatusHype
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation—0
MatChA: Cross-Algorithm Matching with Feature Augmentation—0
OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic TypographyCode0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints—0
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer—0
Deep Learning Reforms Image Matching: A Survey and Outlook—0
Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPUCode1
To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building ModelsCode0
Show:102550
← PrevPage 1 of 41Next →
All datasetsOxford Radar RobotCar (Full-6)Aachen Day-Night v1.1 BenchmarkOxford RobotCar FullExtended CMU SeasonsRobotCar Seasons v2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12—Unverified