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 101–125 of 402 papers

TitleStatusHype
A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera RelocalizationCode1
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual LocalizationCode1
Is Geometry Enough for Matching in Visual Localization?Code1
BARF: Bundle-Adjusting Neural Radiance FieldsCode1
Privacy-Preserving Visual Localization with Event CamerasCode1
Probabilistic Visual Place Recognition for Hierarchical LocalizationCode1
360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device QueriesCode1
Towards Accurate Active Camera LocalizationCode1
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded RepresentationsCode1
CPO: Change Robust Panorama to Point Cloud LocalizationCode1
Geometric Structure Aided Visual Inertial LocalizationCode1
LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited EnvironmentsCode1
Learning Multi-Scene Absolute Pose Regression with TransformersCode1
Data-efficient Large Scale Place Recognition with Graded Similarity SupervisionCode1
Cross-Descriptor Visual Localization and MappingCode1
GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionCode1
FocusTune: Tuning Visual Localization through Focus-Guided SamplingCode1
Attention Weighted Local DescriptorsCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
Handcrafted Outlier Detection RevisitedCode1
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative KeypointsCode1
FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual LocalizationCode1
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature MatchingCode1
S2DNet: Learning Image Features for Accurate Sparse-to-Dense MatchingCode1
Benchmarking Visual Localization for Autonomous NavigationCode1
Show:102550
← PrevPage 5 of 17Next →
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