Masked Channel Modeling for Bootstrapping Visual Pre-training.

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Title: Masked Channel Modeling for Bootstrapping Visual Pre-training.
Authors: Liu, Yang1, yangliu9610@zju.edu.cn, Wang, Xinlong2, wangxinlong@baai.ac.cn, Zhu, Muzhi1, zhumuzhi@zju.edu.cn, Cao, Yue3, caoyue10@gmail.com, Huang, Tiejun2, tjhuang@pku.edu.cn, Shen, Chunhua1, chunhuashen@zju.edu.cn
Source: International Journal of Computer Vision; Feb2025, Vol. 133 Issue 2, p760-780, 21p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 182410328
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  Data: Masked Channel Modeling for Bootstrapping Visual Pre-training.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Yang%22">Liu, Yang</searchLink><relatesTo>1</relatesTo>, <i>yangliu9610@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Xinlong%22">Wang, Xinlong</searchLink><relatesTo>2</relatesTo>, <i>wangxinlong@baai.ac.cn</i><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Muzhi%22">Zhu, Muzhi</searchLink><relatesTo>1</relatesTo>, <i>zhumuzhi@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cao%2C+Yue%22">Cao, Yue</searchLink><relatesTo>3</relatesTo>, <i>caoyue10@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Huang%2C+Tiejun%22">Huang, Tiejun</searchLink><relatesTo>2</relatesTo>, <i>tjhuang@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Shen%2C+Chunhua%22">Shen, Chunhua</searchLink><relatesTo>1</relatesTo>, <i>chunhuashen@zju.edu.cn</i>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11263-024-02204-6
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 760
    Titles:
      – TitleFull: Masked Channel Modeling for Bootstrapping Visual Pre-training.
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            NameFull: Liu, Yang
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            NameFull: Wang, Xinlong
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            NameFull: Zhu, Muzhi
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            NameFull: Cao, Yue
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            NameFull: Huang, Tiejun
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            NameFull: Shen, Chunhua
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            – D: 01
              M: 02
              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 133
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