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I am trying to implement wdsr_a with the scale 4. I would like to compare its performance with EDSR( # of residual blocks = 32, n_feats = 256). In this case, what would be your recommendation to set n_feats and block_feats?
Currently I am using wdsr_a with n_feats 128 and block_feats 512. However I am not sure if it is the intended approach while constructing the network.
The text was updated successfully, but these errors were encountered:
Hi @bensuucar ,I want to know what the PSNR value of the x4 model you are running on the standard dataset (eg.Set5, Set14, B100...)? How long have you been training? Thank you!
Hi, Jiahui,
I am trying to implement wdsr_a with the scale 4. I would like to compare its performance with EDSR( # of residual blocks = 32, n_feats = 256). In this case, what would be your recommendation to set n_feats and block_feats?
Currently I am using wdsr_a with n_feats 128 and block_feats 512. However I am not sure if it is the intended approach while constructing the network.
The text was updated successfully, but these errors were encountered: