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RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation.

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Title: RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation.
Authors: Liu, Jin1, Xu, Xiaoqing1, Shi, Yiqing2, Deng, Cheng1, chdeng@mail.xidian.edu.cn, Shi, Miaohua1
Source: Neurocomputing; Feb2022, Vol. 474, p115-127, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 154735573
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=154735573
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2021.12.003
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 115
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      – TitleFull: RELAXNet: Residual efficient learning and attention expected fusion network for real-time semantic segmentation.
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            NameFull: Liu, Jin
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            NameFull: Xu, Xiaoqing
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            NameFull: Shi, Yiqing
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            NameFull: Deng, Cheng
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              Text: Feb2022
              Type: published
              Y: 2022
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              Value: 474
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            – TitleFull: Neurocomputing
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