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Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.

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Title: Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.
Authors: Hu, Ping1, pinghu@bu.edu, Sclaroff, Stan1, sclaroff@bu.edu, Saenko, Kate1, saenko@bu.edu
Source: IEEE Transactions on Image Processing; 2022, Vol. 31, p6320-6330, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 170077376
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Hu%2C+Ping%22">Hu, Ping</searchLink><relatesTo>1</relatesTo>, <i>pinghu@bu.edu</i><br /><searchLink fieldCode="AU" term="%22Sclaroff%2C+Stan%22">Sclaroff, Stan</searchLink><relatesTo>1</relatesTo>, <i>sclaroff@bu.edu</i><br /><searchLink fieldCode="AU" term="%22Saenko%2C+Kate%22">Saenko, Kate</searchLink><relatesTo>1</relatesTo>, <i>saenko@bu.edu</i>
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TIP.2022.3208735
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 6320
    Titles:
      – TitleFull: Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene Segmentation.
        Type: main
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            NameFull: Hu, Ping
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          Name:
            NameFull: Sclaroff, Stan
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            NameFull: Saenko, Kate
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          Dates:
            – D: 01
              M: 07
              Text: 2022
              Type: published
              Y: 2022
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              Value: 31
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            – TitleFull: IEEE Transactions on Image Processing
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