BNET : Batch Normalization With Enhanced Linear Transformation
Batch normalization (BN) is a fundamental unit in modern deep neural networks. However, BN and its variants focus on normalization statistics but neglect the recovery step that uses linear transformation to improve the capacity of fitting complex data distributions. In this paper, we demonstrate tha...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 7 vom: 09. Juli, Seite 9225-9232
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| Auteur principal: |
Xu, Yuhui
(Auteur) |
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| Autres auteurs: |
Xie, Lingxi,
Xie, Cihang,
Dai, Wenrui,
Mei, Jieru,
Qiao, Siyuan,
Shen, Wei,
Xiong, Hongkai,
Yuille, Alan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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