Hello, thank you for your good research first of all.
I was trying to reproduce the performance reported in your paper with SCER-GoPro dataset that you shared as a link.
(Before I started training from scratch, I had checked that your pre-trained weights gave me PSNR 35.44.
I thought this difference was not that big.)
Since I trained by myself with SCER-GoPro dataset and the code implementation here, total number of iterations was set as 200k which was not equal to the explanation in your paper. (The paper said total num of iter was 300k). Hence I thought this inconsistency was from that difference.
Thus I proceeded to train an additional 100k iters again, however, the performance became lower than that of 200k iter.
Is it because of issues from loading the resume training or should I have to modify some part of the experimental setting in code implementation to obtain the same performance?
Result performance is like below:
psnr 35.46 ssim 0.972 at 200K iter
psnr: 34.4930 ssim: 0.9662 at 200K + 100K iter
It would be really appreciated if you answer my question!
Hello, thank you for your good research first of all.
I was trying to reproduce the performance reported in your paper with SCER-GoPro dataset that you shared as a link.
(Before I started training from scratch, I had checked that your pre-trained weights gave me PSNR 35.44.
I thought this difference was not that big.)
Since I trained by myself with SCER-GoPro dataset and the code implementation here, total number of iterations was set as 200k which was not equal to the explanation in your paper. (The paper said total num of iter was 300k). Hence I thought this inconsistency was from that difference.
Thus I proceeded to train an additional 100k iters again, however, the performance became lower than that of 200k iter.
Is it because of issues from loading the resume training or should I have to modify some part of the experimental setting in code implementation to obtain the same performance?
Result performance is like below:
It would be really appreciated if you answer my question!