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Cross-view Geo-localization with Evolving Transformer
[article]
2021
arXiv
pre-print
In this work, we address the problem of cross-view geo-localization, which estimates the geospatial location of a street view image by matching it with a database of geo-tagged aerial images. The cross-view matching task is extremely challenging due to drastic appearance and geometry differences across views. Unlike existing methods that predominantly fall back on CNN, here we devise a novel evolving geo-localization Transformer (EgoTR) that utilizes the properties of self-attention in
arXiv:2107.00842v2
fatcat:g6gnbi7rpvcalodh6arnbe6eue