Curious, what are some of the strategies for dealing with high resolution? It seems like most neural nets are fixed size and max out around 1024x1024. Do you just run it in sections and merge results? Cheers!
One way is sliding. The other one is to first work on lower resolution and then propagate the information in high resolution and then refine the objects in high resolution.