Evaluation on images bigger than trained input size

I’m trying to run evaluation (inference) on a bunch of images that are large (high-resolution) but the network is actually trained on smaller size images. Do you have any idea other than resizing to the smaller size, or cropping? Maybe any special method of cropping!? If you know any related research, I would appreciate sharing it with me.