Can you elaborate? In my experience it is the opposite: CNNs are highly depend on the input tensor shapes thus resolution change need even an architectional cha

Can you elaborate? In my experience it is the opposite: CNNs are highly depend on the input tensor shapes thus resolution change need even an architectional change. While resolution changes in ViT lead to more tokens, a ViT model can handle that (for image classification e.g. you always take the CLS token, Segmentation maps and similar task have the same output as in the input).