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 101–150 of 402 papers

TitleStatusHype
Learning to Produce Semi-dense Correspondences for Visual LocalizationCode2
Semantic Object-level Modeling for Robust Visual Camera Relocalization—0
UAVD4L: A Large-Scale Dataset for UAV 6-DoF LocalizationCode2
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
LiSA: LiDAR Localization with Semantic AwarenessCode2
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization—0
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-LocalisationCode1
PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields—0
Implicit Learning of Scene Geometry from Poses for Global Localization—0
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 Cameras—0
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 Correspondences—0
CylinderTag: An Accurate and Flexible Marker for Cylinder-Shape Objects Pose Estimation Based on Projective InvariantsCode1
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization—0
Distillation Improves Visual Place Recognition for Low Quality ImagesCode0
LocoNeRF: A NeRF-based Approach for Local Structure from Motion for Precise Localization—0
Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach—0
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
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source LocalizerCode1
Deep Learning for Visual Localization and Mapping: A Survey—0
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondCode5
OFVL-MS: Once for Visual Localization across Multiple Indoor ScenesCode1
LDP-Feat: Image Features with Local Differential Privacy—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
D2S: Representing sparse descriptors and 3D coordinates for camera relocalizationCode1
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Lazy Visual Localization via Motion Averaging—0
ResMatch: Residual Attention Learning for Local Feature MatchingCode1
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network—0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization—0
LightGlue: Local Feature Matching at Light SpeedCode4
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localizationCode0
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation—0
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch InvarianceCode0
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual LocalizationCode0
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera PosesCode0
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
SFD2: Semantic-guided Feature Detection and DescriptionCode1
IDLS: Inverse Depth Line based Visual-Inertial SLAM—0
Attention Weighted Local DescriptorsCode1
NeRF-Loc: Visual Localization with Conditional Neural Radiance FieldCode1
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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