AdaptSegNet
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when I removed the discriminator I found the results GTA5->Cityscapes degraded by 1% only
Hi, First, thanks for your paper and your contribution and making you work available to everyone to benefit from it.
I trained the network (GTA5->Cityscapes vanilla gan) without backpropagating the adversial loss in the generator, this way
and I got these validation results without the discriminator (max mIOU=41.79)
and these are the validation results with the discriminator effect (max mIOU=42.45)
the number on the left are the number of iteration at which the weights were saved and the numbers on the right are the mIOU at each weights snapshot
I find the discriminator effect is little is that normal? or it should improve the results more than that?
Hello @wasidennis would you please answer my question