SOTAVerified

Image-Based Localization

Determining the location of an image without GPS based on cross-view matching. In most of the cases a database of satellite images is used to match the ground images to them.

Papers

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Showing 1–25 of 62 papers

TitleStatusHype
Multiview Image-Based Localization—0
CV-Cities: Advancing Cross-View Geo-Localization in Global CitiesCode2
SpaGBOL: Spatial-Graph-Based Orientated LocalisationCode1
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-LocalisationCode1
Image-based Geolocalization by Ground-to-2.5D Map MatchingCode0
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials—0
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization—0
Long-term Visual Localization with Mobile Sensors—0
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression—0
Sample4Geo: Hard Negative Sampling For Cross-View Geo-LocalisationCode1
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes—0
TBPos: Dataset for Large-Scale Precision Visual LocalizationCode0
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localizationCode1
CyberLoc: Towards Accurate Long-term Visual Localization—0
Privacy Preserving Localization via Coordinate Permutations—0
Privacy-Preserving Visual Localization with Event CamerasCode1
Adversarial Attack Against Image-Based Localization Neural Networks—0
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization—0
Joint Representation Learning and Keypoint Detection for Cross-view Geo-localizationCode1
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localizationCode1
Training Semantic Descriptors for Image-Based Localization—0
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization—0
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered ModalitiesCode0
Digging Into Self-Supervised Learning of Feature Descriptors—0
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
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