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cs.CV2022
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Gilad Kutiel, Regev Cohen, Michael Elad +1
Estimating uncertainty in image-to-image networks is an important task, particularly as such networks are being increasingly deployed in the biological and medical imaging realms.…
cs.CV2022★ 2 cited
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Gregory Vaksman, Michael Elad
Supervised neural networks are known to achieve excellent results in various image restoration tasks. However, such training requires datasets composed of pairs of corrupted images…