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Remote sensing object detection based on a combination of a CNN and the Swin transformer.

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Title: Remote sensing object detection based on a combination of a CNN and the Swin transformer.
Authors: Yang, Liu1, Liang, Junhong1, liangjh1314@hbnu.edu.cn, Guo, Liang2, Long, Yang2, Ding, Kaiyan3, He, Qingfang1, Zhang, Zhihang1
Source: Remote Sensing Letters; May2023, Vol. 14 Issue 5, p450-460, 11p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164083998
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Remote sensing object detection based on a combination of a CNN and the Swin transformer.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+Letters%22">Remote Sensing Letters</searchLink>; May2023, Vol. 14 Issue 5, p450-460, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164083998
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/2150704X.2023.2215896
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 450
    Titles:
      – TitleFull: Remote sensing object detection based on a combination of a CNN and the Swin transformer.
        Type: main
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            NameFull: Yang, Liu
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            NameFull: Liang, Junhong
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            NameFull: Guo, Liang
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            NameFull: Long, Yang
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            NameFull: Ding, Kaiyan
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            NameFull: He, Qingfang
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            NameFull: Zhang, Zhihang
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          Dates:
            – D: 01
              M: 05
              Text: May2023
              Type: published
              Y: 2023
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              Value: 14
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            – TitleFull: Remote Sensing Letters
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