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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?
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: