SVM Hinge Loss and Prediction function definition

[Suvi-dha]

Dear authors,

I have been studying and implementing your paper with some modifications. However, I couldn't find where you have defined prediction function and margin -rescaled hinge loss.

I can only find l2 loss and Adam as CNN optimizer.

Please forgive if I have missed understanding the code, but it would be highly helpful if you could highlight these functions in your given code.

Thanks, hoping for your prompt reply.

[dmarcosg]

Hey! The hinge loss is not computed explicitly. The model only sees the gradients being injected at the level of the D, alpha, beta and kappa maps. The relation between those gradients and the loss is explained in the paper. Let me know if that explanation is not clear. Cheers!