What is InstanceNorm and where does it shine?
mediumAnswer
- Normalize each channel independently within one example.
- Removes per-image style / contrast information — hence its use in style transfer and image-to-image translation (CycleGAN, StyleGAN).
- The scale/shift then allow the network to inject any desired 'style'.
- Not usually used for classification because it destroys instance-specific information that helps discrimination.
Check yourself — multiple choice
- InstanceNorm is used for image classification
- Normalize each channel per example — removes style info, standard in style transfer / GANs
- InstanceNorm depends on batch size
- Same as BatchNorm
InstanceNorm strips style — that's why StyleGAN builds on it.
#normalization#generative
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