FH-YOLOv4 with Constrained Aspect Ratio Loss for Video Face Detection and Public Safety.

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Title: FH-YOLOv4 with Constrained Aspect Ratio Loss for Video Face Detection and Public Safety.
Authors: Wang, Yue1, Hong, Liang1, Gu, Dewen1, Fu, Pingping1
Source: Discrete Dynamics in Nature & Society; 8/9/2022, p1-10, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158422533
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Wang%2C+Yue%22">Wang, Yue</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Hong%2C+Liang%22">Hong, Liang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gu%2C+Dewen%22">Gu, Dewen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Fu%2C+Pingping%22">Fu, Pingping</searchLink><relatesTo>1</relatesTo>
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2022/8355174
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 1
    Titles:
      – TitleFull: FH-YOLOv4 with Constrained Aspect Ratio Loss for Video Face Detection and Public Safety.
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            NameFull: Wang, Yue
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            NameFull: Hong, Liang
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            NameFull: Gu, Dewen
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            NameFull: Fu, Pingping
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          Dates:
            – D: 09
              M: 08
              Text: 8/9/2022
              Type: published
              Y: 2022
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              Value: 10260226
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            – TitleFull: Discrete Dynamics in Nature & Society
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