Julien_Despois:

From my understanding the local weights of the convolutional kernels should learn to recognize the same patterns in both cases as the scale between the patches and full image is conserved.


I’m not sure I’m understanding this claim correctly, but how would the kernels preserve the scale, if you increase the spatial resolution by 4x?