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2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data.

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Title: 2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data.
Authors: Burger, Jacopo1, Blandano, Giorgio1, Facchi, Giuseppe Maurizio1, giuseppe.facchi@unimi.it, Lanzarotti, Raffaella1
Source: Computer Vision & Image Understanding; Jan2025, Vol. 250, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181539740
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.cviu.2024.104227
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: 2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data.
        Type: main
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            NameFull: Burger, Jacopo
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            NameFull: Blandano, Giorgio
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            NameFull: Facchi, Giuseppe Maurizio
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          Dates:
            – D: 01
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              Text: Jan2025
              Type: published
              Y: 2025
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              Value: 250
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            – TitleFull: Computer Vision & Image Understanding
              Type: main
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