Using monocular normal maps together with RGB images in a dual-branch fusion network improves cross-view geo-localization to state-of-the-art levels on University-1652 and SUES-200.
Cross-view discriminative feature learning for person re-identification,
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JRN-Geo: A Joint Perception Network based on RGB and Normal images for Cross-view Geo-localization
Using monocular normal maps together with RGB images in a dual-branch fusion network improves cross-view geo-localization to state-of-the-art levels on University-1652 and SUES-200.