Product Details
CrossLocate: Cross-Modal Large-Scale Visual Geo-Localization in Natural Environments using Rendered Modalities
Created: 2022
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT)
Brejcha Jan, Ing., Ph.D. (DCGM FIT BUT)
visual geo-localization, cross-modal, large-scale, image retrieval, natural environments, rendered modalities, deep learning
CrossLocate software implements the CrossLocate research paper published at the WACV 2022 conference. CrossLocate is a deep-learning method performing visual geo-localization, i.e. determining the geographic origin of photographs, which can be captured in natural environments, such as mountains. With this software, it is possible to train the localization method and evaluate it on a provided dataset.
For more information and additional materials, please visit the project website: http://cphoto.fit.vutbr.cz/crosslocate/
Copyright 2022 CPhoto@FIT Brno University of Technology,
Faculty of Information Technology, Božetěchova 2, 612 00, Brno, Czech Republic
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