Switchable Normalization for Learning-to-Normalize Deep Representation

22 Jul 2019 Ping Luo Ruimao Zhang Jiamin Ren Zhanglin Peng Jingyu Li

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, and a minibatch... (read more)

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