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    BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks by Federico Fontana, Thomas Jantos, Jan Steinbrener, Luigi Cinque, Gian Luca Foresti, Bernhard Rinner

    Published 2025-01-01
    “…It achieves up to a 90.87-fold reduction in operations and uses 4.64 times less disk space compared to similar-performing state-of-the-art models on the SUES-200 dataset, and a 30-fold reduction in operations and 5.13 times less disk space on the University-1652 dataset. …”
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