Computer Vision: U-Net

Convolutional Networks for Biomedical Image Segmentation

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.

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