Maybe it’s due to the difference of torchvision.transform.ToTensor and kornia.image_to_tensor (or any similar to_tensor)
torchvision’s ToTensor scale the pixels to [0, 1] range, and kornia does not and keeps the original pixel value (in [0,255]), and normal to_tensor methods don’t too. This means the normalization is with incorrect data, and network is fed with wrong data distribution, which may lead to performance problem