DeHi: A Decoupled Hierarchical Architecture for Unaligned Ground-to-Aerial Geo-Localization

Ground-to-aerial (G2A) geo-localization remains extremely challenging due to the drastic appearance and geometry differences between ground and aerial views, especially when their relative orientation is unknown. In this paper, we focus on the challenging problem of unaligned G2A geo-localization, w...

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Bibliographic Details

Published in:	IEEE transactions on circuits and systems for video technology Vol. 34; no. 3; pp. 1927 - 1940
Main Authors:	Wang, Teng, Li, Jiawen, Sun, Changyin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computational modeling Convolutional neural networks Datasets decoupled hierarchical architecture factorized transformer model Feature extraction Hierarchical systems Localization Location awareness multi-level deep supervision Orientation Recall Representations Transformers Unaligned cross-view geo-localization
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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