Hi @mhamilton723,
i'm trying to implement your paper on Matlab, using your pipeline but with different net architectures and types of images.
When i compute the correlation loss (eq 4, page 5) i get very big number (for example -4000 ).
The problem is when i sum all the elements of my 384x384x5 tensor even if every cells has a value between 0 and 1 the global sum tends to a big number.
My question is, can you suggest me a way to resolve this issue?
Hi @mhamilton723, i'm trying to implement your paper on Matlab, using your pipeline but with different net architectures and types of images.
When i compute the correlation loss (eq 4, page 5) i get very big number (for example -4000 ). The problem is when i sum all the elements of my 384x384x5 tensor even if every cells has a value between 0 and 1 the global sum tends to a big number.
My question is, can you suggest me a way to resolve this issue?