Hi Frank,



 KFrank:

So you need to design a “soft” version of your desired
loss function through which you can backpropagate.


That’s right. The use of soft predictions with hard targets in binary/semantic segmentation problems is commonly practiced.
Please share your thoughts on having a soft target in a soft loss function. Could it be a better option? I will be more than happy if you suggest some relevant work on this.