Introduces a lunar cross-view geo-localization benchmark with rendered panoramas and overhead tiles, then evaluates a transformer-based retrieval method on it.
& Li, H.Lending Orientation to Neural Networks for Cross- View Geo-Localizationin2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2019), 5617–5626
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Learning Cross-view Correspondences for Geo-localization on Planetary Surfaces
Introduces a lunar cross-view geo-localization benchmark with rendered panoramas and overhead tiles, then evaluates a transformer-based retrieval method on it.