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PathNet: a novel multi-pathway convolutional neural network for few-shot image classification from scratch.

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Title: PathNet: a novel multi-pathway convolutional neural network for few-shot image classification from scratch.
Authors: Fan, Zhonghua1, fanhchina@aliyun.com, Sun, Dongbai1,2,3, sundongbai@mail.sysu.edu.cn, Yu, Hongying3,4, Zhang, Weidong1
Source: Multimedia Systems; Jun2024, Vol. 30 Issue 3, p1-13, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178307715
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PubType: Academic Journal
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  Data: PathNet: a novel multi-pathway convolutional neural network for few-shot image classification from scratch.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>; Jun2024, Vol. 30 Issue 3, p1-13, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178307715
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s00530-024-01330-y
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 1
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      – TitleFull: PathNet: a novel multi-pathway convolutional neural network for few-shot image classification from scratch.
        Type: main
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            NameFull: Fan, Zhonghua
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            NameFull: Sun, Dongbai
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            NameFull: Yu, Hongying
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            NameFull: Zhang, Weidong
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 09424962
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              Value: 30
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Multimedia Systems
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