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Ssn: Learning Sparse Switchable Normalization Via Sparsestmax

INTERNATIONAL JOURNAL OF COMPUTER VISION, no. 8-9 (2020): 2107-2125

Cited by: 30|Views39
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Abstract

Normalization method deals with parameters training of convolution neural networks (CNNs) in which there are often multiple convolution layers. Despite the fact that layers in CNN are not homogeneous in the role they play at representing a prediction function, existing works often employ identical normalizer in different layers, making pe...More

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