State‐of‐the‐art in deep learning approaches for automatic single‐panorama indoor modeling and exploration.
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| Title: | State‐of‐the‐art in deep learning approaches for automatic single‐panorama indoor modeling and exploration. |
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| Authors: | Pintore, G.1 (AUTHOR), Agus, M.2 (AUTHOR), Schneider, J.2 (AUTHOR), Gobbetti, E.1 (AUTHOR) |
| Source: | Computer Graphics Forum. Apr2026, p1. 37p. 11 Illustrations. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 192953527 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192953527 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.70396 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 1 Titles: – TitleFull: State‐of‐the‐art in deep learning approaches for automatic single‐panorama indoor modeling and exploration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pintore, G. – PersonEntity: Name: NameFull: Agus, M. – PersonEntity: Name: NameFull: Schneider, J. – PersonEntity: Name: NameFull: Gobbetti, E. IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 01677055 Titles: – TitleFull: Computer Graphics Forum Type: main |
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