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The implementation is simple and easy to use. Thank you for that. I have one doubt,
Given a mini batch with input x of size BxCxHxW
we apply transformations to get
y1 = self.transform(x)
y2 = self.transform(x)
So is this a batch transformation or image wise transformation
Because as per the paper "More specifically, it
produces two distorted views for all images of a batch X
sampled from a dataset" there are two distorted views only i interpret it as for one distorted view we apply the same transformation for the images in a batch
The text was updated successfully, but these errors were encountered:
rahul13ramesh
pushed a commit
to rahul13ramesh/Barlow-Twins-HSIC
that referenced
this issue
Nov 10, 2022
The implementation is simple and easy to use. Thank you for that. I have one doubt,
Given a mini batch with input x of size BxCxHxW
we apply transformations to get
y1 = self.transform(x)
y2 = self.transform(x)
So is this a batch transformation or image wise transformation
Because as per the paper "More specifically, it
produces two distorted views for all images of a batch X
sampled from a dataset" there are two distorted views only i interpret it as for one distorted view we apply the same transformation for the images in a batch
The text was updated successfully, but these errors were encountered: