SSN: Learning Sparse Switchable Normalization via SparsestMax

CVPR 2019 Wenqi ShaoTianjian MengJingyu LiRuimao ZhangYudian LiXiaogang WangPing Luo

Normalization methods improve both optimization and generalization of ConvNets. To further boost performance, the recently-proposed switchable normalization (SN) provides a new perspective for deep learning: it learns to select different normalizers for different convolution layers of a ConvNet... (read more)

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