CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization

CVPR 2018 Sixing HuMengdan FengRang M. H. NguyenGim Hee Lee

The problem of localization on a geo-referenced aerial/satellite map given a query ground view image remains challenging due to the drastic change in viewpoint that causes traditional image descriptors based matching to fail. We leverage on the recent success of deep learning to propose the CVM-Net for the cross-view image-based ground-to-aerial geo-localization task... (read more)

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