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 226–250 of 402 papers

TitleStatusHype
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences—0
Long-term Visual Localization using Semantically Segmented Images—0
Long-term Visual Localization with Mobile Sensors—0
Long-term Visual Map Sparsification with Heterogeneous GNN—0
MambaLoc: Efficient Camera Localisation via State Space Model—0
MatChA: Cross-Algorithm Matching with Feature Augmentation—0
Hierarchical Scene Coordinate Classification and Regression for Visual Localization—0
Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization—0
Hierarchical Image Matching for UAV Absolute Visual Localization via Semantic and Structural Constraints—0
MegLoc: A Robust and Accurate Visual Localization Pipeline—0
HGSLoc: 3DGS-based Heuristic Camera Pose Refinement—0
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle—0
GSFeatLoc: Visual Localization Using Feature Correspondence on 3D Gaussian Splatting—0
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features—0
Visual Localization of Key Positions for Visually Impaired People—0
Grad-CAM guided channel-spatial attention module for fine-grained visual classification—0
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes—0
3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization—0
Global visual localization in LiDAR-maps through shared 2D-3D embedding space—0
Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras—0
A Real-Time Fusion Framework for Long-term Visual Localization—0
NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features—0
Visual Localization Using Semantic Segmentation and Depth Prediction—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