Revisiting U-Net: a foundational backbone for modern generative AI.
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| Title: | Revisiting U-Net: a foundational backbone for modern generative AI. |
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| Authors: | Ignacio, Marvin John1, mjci@sju.ac.kr, Shin, Sangyun2, sangyun.shin@cs.ox.ac.uk, Jin, Hulin3, jinhulin@ahu.edu.cn, Yoo, Seong Joon1, sjyoo@sejong.ac.kr, Han, Dongil1, dihan@sejong.ac.kr, Kim, Yong-Guk1, ykim@sejong.ac.kr |
| Source: | Artificial Intelligence Review; Feb2026, Vol. 59 Issue 2, p1-52, 52p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190749851 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11450-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 52 StartPage: 1 Titles: – TitleFull: Revisiting U-Net: a foundational backbone for modern generative AI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ignacio, Marvin John – PersonEntity: Name: NameFull: Shin, Sangyun – PersonEntity: Name: NameFull: Jin, Hulin – PersonEntity: Name: NameFull: Yoo, Seong Joon – PersonEntity: Name: NameFull: Han, Dongil – PersonEntity: Name: NameFull: Kim, Yong-Guk IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 59 – Type: issue Value: 2 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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