Closed theonegis closed 4 years ago
Hi, The layers used are Bayesian Layers instead of regular ones.
These are just regular Conv2D layers from PyTorch, not Bayesian Layers.
I do find a Bayesian version from your another repository PyTorch-Bayesian-Super-Resolution, but the results are not good. Why does the Bayesian CNN version perform not good as the regular CNN?
Bayesian CNN keeps an account of model uncertainty and for uncertain predictions, the results are not good when making an image super-resolution. There remains some blurriness in the borders.
Hi, it seems to me there is no Bayesian related code in your SupreResolution implementation, just a regular CNN. What do I miss here? Could you please give me a hint? Many thanks!