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
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera RelocalizationCode1
MegaLoc: One Retrieval to Place Them AllCode2
3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments—0
Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning—0
Visual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection—0
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian SplattingCode2
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback—0
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual LocalizationCode2
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization—0
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes—0
CroCoDL: Cross-device Collaborative Dataset for Localization—0
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual LocalizationCode3
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Mutli-View 3D Reconstruction using Knowledge DistillationCode0
Unleashing the Power of Data Synthesis in Visual Localization—0
PEnG: Pose-Enhanced Geo-LocalisationCode0
OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic GuidanceCode2
YOWO: You Only Walk Once to Jointly Map An Indoor Scene and Register Ceiling-mounted Cameras—0
Leveraging Spatial Attention and Edge Context for Optimized Feature Selection in Visual Localization—0
LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe AlignmentCode2
LoGS: Visual Localization via Gaussian Splatting with Fewer Training Images—0
RNR-Nav: A Real-World Visual Navigation System Using Renderable Neural Radiance Maps—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