Abstract: Machine learning has been considered a promising approach for indoor localization. Nevertheless, the sample efficiency, scalability, and generalization ability remain open issues of ...
Abstract: This paper presents a novel aerial-to-ground feature ag-gregation strategy, tailored for the task of cross- view image-based geo-localization. Conventional vision-based methods heavily rely ...
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