Pruning‐guided feature distillation for an efficient transformer‐based pose estimation model.

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Title: Pruning‐guided feature distillation for an efficient transformer‐based pose estimation model.
Authors: Kim, Dong‐hwi1, Lee, Dong‐hun1, Kim, Aro1, Jeong, Jinwoo2, Lee, Jong Taek1, Kim, Sungjei2, sungjei.kim@keti.re.kr, Park, Sang‐hyo1, s.park@knu.ac.kr
Source: IET Computer Vision (Wiley-Blackwell); Sep2024, Vol. 18 Issue 6, p745-758, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180951665
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Pruning‐guided feature distillation for an efficient transformer‐based pose estimation model.
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  Data: <searchLink fieldCode="JN" term="%22IET+Computer+Vision+%28Wiley-Blackwell%29%22">IET Computer Vision (Wiley-Blackwell)</searchLink>; Sep2024, Vol. 18 Issue 6, p745-758, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180951665
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1049/cvi2.12277
    Languages:
      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 745
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      – TitleFull: Pruning‐guided feature distillation for an efficient transformer‐based pose estimation model.
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            NameFull: Kim, Dong‐hwi
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            NameFull: Lee, Dong‐hun
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            NameFull: Kim, Aro
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            NameFull: Jeong, Jinwoo
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            NameFull: Lee, Jong Taek
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            NameFull: Kim, Sungjei
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            NameFull: Park, Sang‐hyo
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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