2019
Differentiable Dynamic Normalization for Learning Deep Representation
ICML 2019oral
This work presents Dynamic Normalization (DN), which is able to learn arbitrary normalization operations for different convolutional layers in a deep ConvNet. Unlike existing normalization approaches that predefined computations of the statistics (mean and variance), DN learns to estimate them. DN h…