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AFC-Net: adjacent feature complementary for crowded pedestrian detection.

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Title: AFC-Net: adjacent feature complementary for crowded pedestrian detection.
Authors: Wang, Jing1, Zhao, Cailing1, Liu, Zhiqiang2, Huo, Zhanqiang1, hzq@hpu.edu.cn
Source: Machine Vision & Applications; Sep2023, Vol. 34 Issue 5, p1-14, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: AFC-Net: adjacent feature complementary for crowded pedestrian detection.
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  Data: <searchLink fieldCode="AU" term="%22Wang%2C+Jing%22">Wang, Jing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Cailing%22">Zhao, Cailing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Zhiqiang%22">Liu, Zhiqiang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Huo%2C+Zhanqiang%22">Huo, Zhanqiang</searchLink><relatesTo>1</relatesTo>, <i>hzq@hpu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Machine+Vision+%26+Applications%22">Machine Vision & Applications</searchLink>; Sep2023, Vol. 34 Issue 5, p1-14, 14p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00138-023-01439-6
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1
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      – TitleFull: AFC-Net: adjacent feature complementary for crowded pedestrian detection.
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            NameFull: Wang, Jing
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            NameFull: Zhao, Cailing
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            NameFull: Liu, Zhiqiang
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            NameFull: Huo, Zhanqiang
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 34
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            – TitleFull: Machine Vision & Applications
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