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 151–200 of 402 papers

TitleStatusHype
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints—0
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer—0
Deep Learning Reforms Image Matching: A Survey and Outlook—0
To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building ModelsCode0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
GSFeatLoc: Visual Localization Using Feature Correspondence on 3D Gaussian Splatting—0
Visual Re-Ranking with Non-Visual Side InformationCode0
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds—0
Scene-agnostic Pose Regression for Visual Localization—0
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence Learning—0
A-SCoRe: Attention-based Scene Coordinate Regression for wide-ranging scenariosCode0
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features—0
NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
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
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
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization—0
CroCoDL: Cross-device Collaborative Dataset for Localization—0
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes—0
Mutli-View 3D Reconstruction using Knowledge DistillationCode0
Unleashing the Power of Data Synthesis in Visual Localization—0
PEnG: Pose-Enhanced Geo-LocalisationCode0
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
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
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension—0
SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality—0
Combining Absolute and Semi-Generalized Relative Poses for Visual Localization—0
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood InformationCode0
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement—0
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression—0
Unveiling Visual Biases in Audio-Visual Localization Benchmarks—0
Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations—0
MambaLoc: Efficient Camera Localisation via State Space Model—0
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos—0
Re-localization acceleration with Medoid Silhouette Clustering—0
From 2D to 3D: AISG-SLA Visual Localization Challenge—0
Pose Estimation from Camera Images for Underwater Inspection—0
RADA: Robust and Accurate Feature Learning with Domain Adaptation—0
An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robotsCode0
Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization—0
Self-supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes—0
TP3M: Transformer-based Pseudo 3D Image Matching with Reference Image—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