A Mathematical Explanation of UNet

Fuente: arXiv
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Autori principali: Tai, Xue-Cheng, Liu, Hao, Chan, Raymond H., Li, Lingfeng
Natura: Preprint
Pubblicazione: 2024
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_version_ 1866914965839937536
author Tai, Xue-Cheng
Liu, Hao
Chan, Raymond H.
Li, Lingfeng
author_facet Tai, Xue-Cheng
Liu, Hao
Chan, Raymond H.
Li, Lingfeng
contents The UNet architecture has transformed image segmentation. UNet's versatility and accuracy have driven its widespread adoption, significantly advancing fields reliant on machine learning problems with images. In this work, we give a clear and concise mathematical explanation of UNet. We explain what is the meaning and function of each of the components of UNet. We will show that UNet is solving a control problem. We decompose the control variables using multigrid methods. Then, operator-splitting techniques is used to solve the problem, whose architecture exactly recovers the UNet architecture. Our result shows that UNet is a one-step operator-splitting algorithm for the control problem.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04434
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Mathematical Explanation of UNet
Tai, Xue-Cheng
Liu, Hao
Chan, Raymond H.
Li, Lingfeng
Computer Vision and Pattern Recognition
68U10, 94A08
The UNet architecture has transformed image segmentation. UNet's versatility and accuracy have driven its widespread adoption, significantly advancing fields reliant on machine learning problems with images. In this work, we give a clear and concise mathematical explanation of UNet. We explain what is the meaning and function of each of the components of UNet. We will show that UNet is solving a control problem. We decompose the control variables using multigrid methods. Then, operator-splitting techniques is used to solve the problem, whose architecture exactly recovers the UNet architecture. Our result shows that UNet is a one-step operator-splitting algorithm for the control problem.
title A Mathematical Explanation of UNet
topic Computer Vision and Pattern Recognition
68U10, 94A08
url https://arxiv.org/abs/2410.04434