I have inputs with different sizes. In order to be able to use them in a batch, I padded them to have the same size. now at the end of each iteration, I have
loss(output, label), where both output and label are in the shape of
B,C,W,H but there are just certain part o each image that I care about and don’t want to penalize the model for making mistake on the padded parts.
Is there a way to modify the loss (in my case MSE) to not care about the regions that are padded?
does it make sense if I just multiply the output with a mask at the end that has zero for the regions that I don’t care before computing the loss?