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Could you please tell me if the loss curves in the cat2dog task are normal? Why do dis_a and dis_b keep decreasing while gen_ab and gen_ba keep increasing? If this is incorrect, what should the correct loss curves look like?
Thanks for your help, you are the most patient teacher I have ever had on github!
The text was updated successfully, but these errors were encountered:
Could you please tell me if the loss curves in the cat2dog task are normal?
The losses look normal to me. I am attaching our losses for reference. They look pretty much the same. history.csv
Why do dis_a and dis_b keep decreasing while gen_ab and gen_ba keep increasing?
I do not know that for sure. My speculation, is that the cycle-consistency constraint may be too stringent for the cat-to-dog translation. It forces the generators to leave tiny artifacts in the translated image (e.g. outline of cat ears for cat -> dog translation).
Such artifacts are necessary in order to be able to cyclically-reconstruct the original image back. Eventually, the discriminator starts detecting those artifacts and its loss goes down. The increase in gen_ab and gen_ba is simply the consequence of the decrease of disc_a and disc_b.
Could you please tell me if the loss curves in the cat2dog task are normal? Why do dis_a and dis_b keep decreasing while gen_ab and gen_ba keep increasing? If this is incorrect, what should the correct loss curves look like?
Thanks for your help, you are the most patient teacher I have ever had on github!
The text was updated successfully, but these errors were encountered: