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GCA-Net: Geometric-Contextual Alignment Network for Lightweight and Robust Local Feature Extraction in Visual Localization.

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Title: GCA-Net: Geometric-Contextual Alignment Network for Lightweight and Robust Local Feature Extraction in Visual Localization.
Authors: Deng, Yujuan1,2,3,4, Tian, Liang2,3,5, Hou, Xiaohui3,6, Zhao, Xiaoling2,4, Wang, Yonggang1,3,5, Liu, Xin6,7, Liu, Xingchao3,7,8, Liao, Chunyuan1,8, liaochunyuan@hebtu.edu.cn
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3330, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192959673
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: GCA-Net: Geometric-Contextual Alignment Network for Lightweight and Robust Local Feature Extraction in Visual Localization.
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        Value: 10.3390/app16073330
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 3330
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      – TitleFull: GCA-Net: Geometric-Contextual Alignment Network for Lightweight and Robust Local Feature Extraction in Visual Localization.
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            NameFull: Deng, Yujuan
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            NameFull: Tian, Liang
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            NameFull: Wang, Yonggang
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            NameFull: Liu, Xin
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              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 16
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              Value: 7
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            – TitleFull: Applied Sciences (2076-3417)
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