hi, i was making my own implementation of esrgan, except i made 2 changes, the number of rrdb blocks is 8 and i haven't included L1 loss in the perceptual loss function. The data is cell microscopy data and after 100 epochs i have been still getting output like the ones attatched in images( the generated is the 3rd image, ground truth is 4th, 1st and 2nd are bicubic and nearest neighbor). does my network need more epochs to train or is there something wrong.
P.S. i am asking this because these color losses in a normal srgan start to disappear after 10-20 epochs only.
hi, i was making my own implementation of esrgan, except i made 2 changes, the number of rrdb blocks is 8 and i haven't included L1 loss in the perceptual loss function. The data is cell microscopy data and after 100 epochs i have been still getting output like the ones attatched in images( the generated is the 3rd image, ground truth is 4th, 1st and 2nd are bicubic and nearest neighbor). does my network need more epochs to train or is there something wrong.
P.S. i am asking this because these color losses in a normal srgan start to disappear after 10-20 epochs only.