U-Net
id:
u-net-204-6782042
title:
U-Net
text:
U-Net is a convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation. Segmentation of a 512 × 512 image takes less than a second on a modern (2015) GPU using the U-Net architecture. The U-Net architecture has also been employed in diffusion models for iterative image denoising. This technology underlies m
brand slug:
wiki
category slug:
encyclopedia
description:
Type of convolutional neural network
original url:
https://en.wikipedia.org/wiki/U-Net
date created:
2018-04-20T09:18:51Z
date modified:
2024-09-09T20:56:04Z
main entity:
{"identifier":"Q55636383","url":"https://www.wikidata.org/entity/Q55636383"}
image:
fields total:
13
integrity:
15