Switchable Normalization for Learning-to-Normalize Deep Representation
We address a learning-to-normalize problem by proposing Switchable Normalization (SN), which learns to select different normalizers for different normalization layers of a deep neural network. SN employs three distinct scopes to compute statistics (means and variances) including a channel, a layer,...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 2 vom: 05. Feb., Seite 712-728
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| Auteur principal: |
Luo, Ping
(Auteur) |
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| Autres auteurs: |
Zhang, Ruimao,
Ren, Jiamin,
Peng, Zhanglin,
Li, Jingyu |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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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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