Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization
In this paper, we study the cross-view geo-localization problem to match images from different viewpoints. The key motivation underpinning this task is to learn a discriminative viewpoint-invariant visual representation. Inspired by the human visual system for mining local patterns, we propose a new...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 05., Seite 3780-3792
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| 1. Verfasser: |
Lin, Jinliang
(VerfasserIn) |
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| Weitere Verfasser: |
Zheng, Zhedong,
Zhong, Zhun,
Luo, Zhiming,
Li, Shaozi,
Yang, Yi,
Sebe, Nicu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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