Instance Normalization: The Missing Ingredient for Fast Stylization Instance Normalization: The Missing Ingredient for Fast Stylization
Paper summary In the context of stylization, Ulyanov et al. propose to use instance normalization instead of batch normalization. In detail, instance normalization does not compute the mean and standard deviation used for normalization over the current mini-batch in training. Instead, these statistics are computed per instance individually. This also has the benefit of having the same training and test procedure, meaning that normalization is the same in both cases – in contrast to batch normalization. Also find this summary at [davidstutz.de](https://davidstutz.de/category/reading/).
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Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov and Andrea Vedaldi and Victor Lempitsky
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CV

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Summary by Alexander Jung 2 years ago
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Summary by David Stutz 4 months ago
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