I mean if I take a 1024x1024 image, split it into 256x256 chunks and train on these chunks, running the resulting trained fully convolutional model on the full 1024x1024 model should work, as each feature map should be simply 4 times as wide and high as the ones during training, but that shouldn’t matter as at the kernel level (say 5x5) the resolution is still the same. I should get an output of size 1024x1024 (as I do get) instead of the 256x256 I have in training.  No?