Abstract
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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 874-889 |
| Number of pages | 16 |
| Journal | Mathematical Foundations of Computing |
| Volume | 8 |
| Issue number | 5 |
| Early online date | Oct 2024 |
| DOIs | |
| Publication status | Published - Oct 2025 |
Bibliographical note
Publisher Copyright:© (2025), (American Institute of Mathematical Sciences). All rights reserved.
Funding
The first author is supported by [HKRGC-NSFC Grant N-CityU214/19, HKRGC CRF Grant C1013-21GF and NORCE Kompetanseoppbygging program]. The second author is supported by [National Natural Science Foundation of China 12201530 and HKRGC ECS 22302123]. The third author is supported by [HKRGC GRF grants CityU1101120, CityU11309922, CRF grant C1013-21GF, and HKRGC-NSFC Grant N-CityU214/19].
Keywords
- deep neural network
- image segmentation
- operator splitting
- UNet
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Dive into the research topics of 'A mathematical explanation of UNet'. Together they form a unique fingerprint.Projects
- 1 Finished
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Efficient Mathematical and Data-driven Models for Closed-loop Adaptive Optics Systems for Ground-based Astronomy (地面天文学中闭环自适应光学系统的高效数学和数据驱动模型)
CHAN, R. (PI), KE, R. (CoI), WAGNER, R. (CoI) & RAMLAU, R. (CoI)
Research Grants Council (Hong Kong, China)
1/01/23 → 31/12/25
Project: Grant Research
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