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

Showing 101125 of 402 papers

TitleStatusHype
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
Semantic Object-level Modeling for Robust Visual Camera Relocalization0
UAVD4L: A Large-Scale Dataset for UAV 6-DoF LocalizationCode2
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds0
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
LiSA: LiDAR Localization with Semantic AwarenessCode2
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization0
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-LocalisationCode1
PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields0
Implicit Learning of Scene Geometry from Poses for Global Localization0
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-trainingCode0
Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras0
360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device QueriesCode1
FocusTune: Tuning Visual Localization through Focus-Guided SamplingCode1
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences0
CylinderTag: An Accurate and Flexible Marker for Cylinder-Shape Objects Pose Estimation Based on Projective InvariantsCode1
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer0
Jointly Optimized Global-Local Visual Localization of UAVs0
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization0
Distillation Improves Visual Place Recognition for Low Quality ImagesCode0
LocoNeRF: A NeRF-based Approach for Local Structure from Motion for Precise Localization0
Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach0
Segment Anything Model is a Good Teacher for Local Feature LearningCode1
Dark Side Augmentation: Generating Diverse Night Examples for Metric LearningCode0
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual LocalizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MapNetMean Translation Error48.21Unverified
2PointNetVLADMean Translation Error28.48Unverified
3DCPMean Translation Error18.45Unverified
4AD-MapNetMean Translation Error18.43Unverified
5AtLoc+Mean Translation Error17.92Unverified
6PosePNMean Translation Error16.32Unverified
7VMLocMean Translation Error15.11Unverified
8MS-TransformerMean Translation Error11.69Unverified
9PoseMinkLocMean Translation Error11.2Unverified
10PosePN++Mean Translation Error10.64Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-LoFTRAcc@0.25m, 2°79.1Unverified
2LoFTRAcc@0.25m, 2°78.5Unverified
3GIM-SuperGlueAcc@0.25m, 2°78Unverified
4SuperGlueAcc@0.25m, 2°77Unverified
5GIM-DKMAcc@0.25m, 2°77Unverified
6SCFeatAcc@0.25m, 2°74.3Unverified
7DKMAcc@0.25m, 2°70.2Unverified
#ModelMetricClaimedVerifiedStatus
1AtLocMean Translation Error29.6Unverified
2MapNet++Mean Translation Error29.5Unverified
3GNNMapNetMean Translation Error17.35Unverified
4CoordiNetMean Translation Error14.96Unverified
5AtLoc+Mean Translation Error13.7Unverified
6RobustLocMean Translation Error9.37Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.1Unverified