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,...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 2 vom: 05. Feb., Seite 712-728
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| 1. Verfasser: |
Luo, Ping
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Ruimao,
Ren, Jiamin,
Peng, Zhanglin,
Li, Jingyu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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