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 26–50 of 402 papers

TitleStatusHype
PRAM: Place Recognition Anywhere Model for Efficient Visual LocalizationCode2
Fully Geometric Panoramic LocalizationCode2
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
UAVD4L: A Large-Scale Dataset for UAV 6-DoF LocalizationCode2
LiSA: LiDAR Localization with Semantic AwarenessCode2
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
GlueStick: Robust Image Matching by Sticking Points and Lines TogetherCode2
OrienterNet: Visual Localization in 2D Public Maps with Neural MatchingCode2
3D Line Mapping RevisitedCode2
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural NetworkCode2
Improving Feature-based Visual Localization by Geometry-Aided MatchingCode2
Neural Density-Distance FieldsCode2
MeshLoc: Mesh-Based Visual LocalizationCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
OnePose: One-Shot Object Pose Estimation without CAD ModelsCode2
DKM: Dense Kernelized Feature Matching for Geometry EstimationCode2
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene GraphsCode2
Why Not Replace? Sustaining Long-Term Visual Localization via Handcrafted-Learned Feature Collaboration on CPUCode1
Image-Based Relocalization and Alignment for Long-Term Monitoring of Dynamic Underwater EnvironmentsCode1
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera RelocalizationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place RecognitionCode1
SpaGBOL: Spatial-Graph-Based Orientated LocalisationCode1
Show:102550
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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