Hi David!



 davidsriker:

So I can’t use the first approach because I have different spatial input sizes to the network.


I think you still could build symmetry into the network itself.
Pad your smaller images to be the size of the largest, and pad them to be
square, with the line of symmetry being, say, the lower-left-to-upper-right
main diagonal.  Form the two-channel image out of the flipped and unflipped
halves.  Set the upper-left (triangular) halves of both channels to zero, and
predict the mask (half of the symmetrical mask) that lies in the lower-right
triangular half of your square output “image.”
Best.
K. Frank