A MATHEMATICAL EXPLANATION OF UNET

被引:0
|
作者
Tai, Xue-cheng [1 ]
Liu, Hao [2 ]
Chan, Raymond H. [3 ]
Li, Lingfeng [4 ]
机构
[1] Norwegian Res Ctr NORCE, Nygardsgaten 112, N-5008 Bergen, Norway
[2] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
[3] Lingnan Univ, Tuen Mun, Hong Kong, Peoples R China
[4] Hong Kong Ctr Cerebro Cardiovasc Hlth Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
UNet; operator splitting; deep neural network; image segmentation; OPERATOR-SPLITTING METHOD; ELASTICA MODEL; DECOMPOSITION; CONVERGENCE; BOUNDS;
D O I
10.3934/mfc.2024040
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 gave a clear and concise mathematical explanation of UNet. We explained what is the meaning and function of each of the components of UNet. We will showed that UNet was solving a control problem. We decomposed the control variables using multigrid methods. Then, operator-splitting techniques were used to solve the problem, whose architecture exactly recovered the UNet architecture. Our result showed that UNet was a one-step operator-splitting algorithm for the control problem.
引用
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页数:16
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