How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison.
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| Title: | How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison. |
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| Authors: | Sehar, Uroosa1, 1505253990@qq.com, Naseem, Muhammad Luqman2 |
| Source: | Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p30519-30544, 26p |
| 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: 158564343 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-022-12821-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 30519 Titles: – TitleFull: How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sehar, Uroosa – PersonEntity: Name: NameFull: Naseem, Muhammad Luqman IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 81 – Type: issue Value: 21 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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