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 326350 of 402 papers

TitleStatusHype
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints0
Improved Visual Localization via Graph Smoothing0
Self-supervised Moving Vehicle Tracking with Stereo Sound0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Coarse-To-Fine Visual Localization Using Semantic Compact Map0
Learning Navigation by Visual Localization and Trajectory Prediction0
Global visual localization in LiDAR-maps through shared 2D-3D embedding space0
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage CostCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Prior Guided Dropout for Robust Visual Localization in Dynamic EnvironmentsCode0
TagSLAM: Robust SLAM with Fiducial Markers0
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing EnvironmentsCode0
Visual Measurement Integrity Monitoring for UAV Localization0
Hierarchical Scene Coordinate Classification and Regression for Visual Localization0
AtLoc: Attention Guided Camera LocalizationCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization0
Expert Sample Consensus Applied to Camera Re-LocalizationCode0
To Learn or Not to Learn: Visual Localization from Essential Matrices0
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual LocalizationCode0
Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environmentCode0
Place recognition in gardens by learning visual representations: data set and benchmark analysis0
BTEL: A Binary Tree Encoding Approach for Visual Localization0
Visual Localization by Learning Objects-Of-Interest Dense Match Regression0
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep DescriptorsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MapNetMean Translation Error48.21Unverified
2PointNetVLADMean Translation Error28.48Unverified
3DCPMean Translation Error18.45Unverified
4AD-MapNetMean Translation Error18.43Unverified
5AtLoc+Mean Translation Error17.92Unverified
6PosePNMean Translation Error16.32Unverified
7VMLocMean Translation Error15.11Unverified
8MS-TransformerMean Translation Error11.69Unverified
9PoseMinkLocMean Translation Error11.2Unverified
10PosePN++Mean Translation Error10.64Unverified
#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
#ModelMetricClaimedVerifiedStatus
1AtLocMean Translation Error29.6Unverified
2MapNet++Mean Translation Error29.5Unverified
3GNNMapNetMean Translation Error17.35Unverified
4CoordiNetMean Translation Error14.96Unverified
5AtLoc+Mean Translation Error13.7Unverified
6RobustLocMean Translation Error9.37Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.1Unverified