Adding scalability #4
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The network architecture is scale-invariant since it is a fully convolutional network. However, since the pixel locations are normalized into -1~1, the voxel flow vector scale is not scale-invariant. Since the training set images are 256 by 256, we need smaller voxel flow values for the same motion of bigger images. This issue was reflected.