Thanks, so basically, this architecture could work ? -> https://i.imgur.com/mzcJTP4.png 6
I’ve made this mockup by tweaking the original UNet pdf figure to fit my case. I wasn’t sure about the number of channels to start with (right after the very first layer), the original paper was using 64, I set it arbitrarily to 32. Any comment on that ?
As for the resolution, my original 32x32 resolution is not critical, it just carries some extra subtilities. In my case 16x16 is the lowest resolution that carries the information (the ability to discriminate between noise and signal). However I can still benefits from the fine details of the 32x32, so I hope my proposed UNet can still benefit from it, even if one level of downsampling occurs ?