Gold score
hytseng0509 opened this issue · 2 comments
hytseng0509 commented
Hi,
Thanks for sharing the source code!
According to the implementation here, it seems that you directly use the logits predicted from the discriminator as the weight for the re-weighting training. Does it mean that some weights might be negative (thus reversing the direction of the gradient computed from the re-weighted loss here)?
sangwoomo commented
Hi,
Your understanding is exactly right.
My intuition was to suppress the over-generated regions.
However, I did not investigated much variations of the loss; hence, one would find the better one :)
hytseng0509 commented
Thanks for the reply!