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 351–400 of 402 papers

TitleStatusHype
BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images—0
SRVIO: Super Robust Visual Inertial Odometry for dynamic environments and challenging Loop-closure conditions—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
TagSLAM: Robust SLAM with Fiducial Markers—0
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency—0
The NeRFect Match: Exploring NeRF Features for Visual Localization—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—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
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds—0
A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains—0
4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping—0
Are Large-Scale 3D Models Really Necessary for Accurate Visual 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
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization—0
iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images—0
Language Guided Local Infiltration for Interactive Image Retrieval—0
Large-scale Localization Datasets in Crowded Indoor Spaces—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Lazy Visual Localization via Motion Averaging—0
LDP-Feat: Image Features with Local Differential Privacy—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network—0
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization—0
Learning Local Features with Context Aggregation for Visual Localization—0
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints—0
Learning models for visual 3D localization with implicit mapping—0
Improved Visual Localization via Graph Smoothing—0
Learning Multi-View Camera Relocalization With Graph Neural Networks—0
Learning Navigation by Visual Localization and Trajectory Prediction—0
Learning Scene Geometry for Visual Localization in Challenging Conditions—0
Visual Localization by Learning Objects-Of-Interest Dense Match Regression—0
Learning to Predict Repeatability of Interest Points—0
ImPosing: Implicit Pose Encoding for Efficient Visual Localization—0
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze—0
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization—0
Implicit Learning of Scene Geometry from Poses for Global Localization—0
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization—0
Leveraging Spatial Attention and Edge Context for Optimized Feature Selection in Visual Localization—0
Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations—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