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@ildoonet
It is a good question. Unfortunately, we didn't experiment that.
Currently, we consider the efficiency for loading image data, so the random region is selected only in the 'mini-batch'.
It might improve the performance by using outside the 'mini-batch' data, but I guess there is no big difference if we use sufficiently large mini-batch size (we use 256).
I will be very happy if you test and verify this. :)
Thanks!
If we use random regions of data from full dataset, Can it improve the performance further?
Have you experimented this?
(currently, random regions are sampled from 'mini-batch')
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