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 301–325 of 402 papers

TitleStatusHype
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Semantic Image Alignment for Vehicle Localization—0
Semantic Match Consistency for Long-Term Visual Localization—0
Semantic Object-level Modeling for Robust Visual Camera Relocalization—0
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning—0
Semantic Signatures for Large-scale Visual Localization—0
Semantic Visual Localization—0
SGL: Structure Guidance Learning for Camera Localization—0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos—0
SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
TagSLAM: Robust SLAM with Fiducial Markers—0
The NeRFect Match: Exploring NeRF Features for Visual Localization—0
To Learn or Not to Learn: Visual Localization from Essential Matrices—0
Topometric Localization with Deep Learning—0
TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image—0
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback—0
Training Semantic Descriptors for Image-Based Localization—0
Unleashing the Power of Data Synthesis in Visual Localization—0
Unveiling Visual Biases in Audio-Visual Localization Benchmarks—0
Vision-based localization methods under GPS-denied conditions—0
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC—0
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints—0
Visual Localization by Learning Objects-Of-Interest Dense Match Regression—0
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze—0
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All datasetsOxford Radar RobotCar (Full-6)Aachen Day-Night v1.1 BenchmarkOxford RobotCar FullExtended CMU SeasonsRobotCar Seasons v2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MapNetMean Translation Error48.21—Unverified
2PointNetVLADMean Translation Error28.48—Unverified
3DCPMean Translation Error18.45—Unverified
4AD-MapNetMean Translation Error18.43—Unverified
5AtLoc+Mean Translation Error17.92—Unverified
6PosePNMean Translation Error16.32—Unverified
7VMLocMean Translation Error15.11—Unverified
8MS-TransformerMean Translation Error11.69—Unverified
9PoseMinkLocMean Translation Error11.2—Unverified
10PosePN++Mean Translation Error10.64—Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-LoFTRAcc@0.25m, 2°79.1—Unverified
2LoFTRAcc@0.25m, 2°78.5—Unverified
3GIM-SuperGlueAcc@0.25m, 2°78—Unverified
4SuperGlueAcc@0.25m, 2°77—Unverified
5GIM-DKMAcc@0.25m, 2°77—Unverified
6SCFeatAcc@0.25m, 2°74.3—Unverified
7DKMAcc@0.25m, 2°70.2—Unverified
#ModelMetricClaimedVerifiedStatus
1AtLocMean Translation Error29.6—Unverified
2MapNet++Mean Translation Error29.5—Unverified
3GNNMapNetMean Translation Error17.35—Unverified
4CoordiNetMean Translation Error14.96—Unverified
5AtLoc+Mean Translation Error13.7—Unverified
6RobustLocMean Translation Error9.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.1—Unverified