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

Showing 110 of 402 papers

TitleStatusHype
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation0
MatChA: Cross-Algorithm Matching with Feature Augmentation0
OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic TypographyCode0
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles0
Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints0
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer0
Deep Learning Reforms Image Matching: A Survey and Outlook0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIM-LoFTRAcc@0.25m, 2°79.1Unverified
2LoFTRAcc@0.25m, 2°78.5Unverified
3GIM-SuperGlueAcc@0.25m, 2°78Unverified
4SuperGlueAcc@0.25m, 2°77Unverified
5GIM-DKMAcc@0.25m, 2°77Unverified
6SCFeatAcc@0.25m, 2°74.3Unverified
7DKMAcc@0.25m, 2°70.2Unverified