Switchable Normalization for Learning-to-Normalize Deep Representation
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DOI: 10.1109/tpami.2019.2932062
Abstract: 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… read more here.
Keywords: deep representation; switchable normalization; learning normalize; normalization learning ... See more keywords