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
Improved Visual Localization via Graph Smoothing—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images—0
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
Language Guided Local Infiltration for Interactive Image Retrieval—0
Large-scale Localization Datasets in Crowded Indoor Spaces—0
Lazy Visual Localization via Motion Averaging—0
LDP-Feat: Image Features with Local Differential Privacy—0
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network—0
Learning Local Features with Context Aggregation for Visual Localization—0
Learning models for visual 3D localization with implicit mapping—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
Learning to Predict Repeatability of Interest Points—0
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual 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
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds—0
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—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