Hello everyone,
I don’t know if this is the right place to ask this but I’ll ask anyways.
I am working on a multi class semantic segmentation problem, and I want to use a loss function which incorporates both dice loss & cross entropy loss. How do I use this?
I dont think a simple addition of dice score + cross entropy would make sense as the dice score is a small value between 0 & 1, but the cross entropy value can also take very large values.
So is there like some kind of normalization that should be performed on the CE loss to bring it in the same scale to that of the dice loss?
Thanks in advance