I’m currently trying to implement Deepmask with Pytorch but I’m struggling with some of the modifications which are done on the preloaded ResNet for the trunk (https://github.com/facebookresearch/deepmask/blob/master/DeepMask.lua 59)
All of the batchNormalization layers are changed in some way I don’t understand. The function’s called “BNtoFixed” which is imported from imagine-nn utils (https://github.com/szagoruyko/imagine-nn 21).
Unfortunately, the Pytorch version of imagine-nn is quite small in comparison and does not provide something similar. Also couldn’t find a reference in the Deepmask/Sharpmask papers.
Maybe someone can give me a hint on what this modification is for and how it works or a paper which descripes it.
Thanks in advance