3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
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about group norm size
Hi I am also implementing this algorithm and I want to check something with you...
I see that in your implementation you set the number of groups to 8: But in the paper myronenko says literally: "GN stands for group normalization (with group size of 8)"
so this can also understood that each group has 8 channels and therefore num_groups = inChans/8
What do you think?
I think you got it right. I was a bit confused when implementing this part as well. Thank you for your valuable suggestion. I am a bit occupied now but will make sure to implement and test this one once I get some free time. Added to the to-do list!