Computer Vision: U-Net
U-Net is one of the most famous image segmentation architectures. It was proposed in 2015 by Olaf Ronneberger, Philipp Fischer, Thomas Brox (University of Freiburg, Germany). [1]
One should read the full paper to really relish the architechture. Following is an outlines treatment, suitable for beginners.
An end-to-end segmentation technique- U-Net takes a raw image in and outputs a segmentation map of the image.
