Questions with regards to reproducing training and inference result about mp-senet HOT 2 CLOSED

Hi,

For your first question, the tool I used in the code to calculate the objective metrics was directly inherited from CMGAN.
I also noticed that its results differ slightly from those calculated by the pysepm package, but to ensure a fair comparison with CMGAN, I used the tools they provided.

For your second question, in the conference version, we halved the learning rate every 30 epochs.
However, in subsequent work, we found that using an exponential decay method yields better results, so the method provided in this repository is the latter.

Lastly, the checkpoint I put in this repository is the best checkpoint.

from mp-senet.

Thank you very much for addressing my questions.

from mp-senet.