BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks

BiCrossNet: resource-efficient cross-view geolocalization with binary neural networks

This paper presents BiCrossNet, a novel approach to cross-view geolocalization utilizing binary neural networks to significantly reduce computational complexity while maintaining competitive performance. Key contributions include the development of a Bi-Gradual Unfreezing method to enhance transfer...

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Bibliographic Details
Main Authors: Federico Fontana, Thomas Jantos, Jan Steinbrener, Luigi Cinque, Gian Luca Foresti, Bernhard Rinner
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
cross-view geolocalization
binary neural networks
efficient deep learning
Online Access:https://doi.org/10.1088/2632-2153/adfa67
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