If I want to perform some computer vision task using CNN (let’s say segmentation), how can I ensure that I can get generalization across images that were captured using another camera(with different intrinsic matrix)? I tried using a learned semantic segmentation model on my own camera images and it failed terribly. I suspect this is because the convolution filters are overfitted to the particular resolution (fx, fy) we trained our model on.