Review and analysis of synthetic dataset generation methods and techniques for application in computer vision.
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| Title: | Review and analysis of synthetic dataset generation methods and techniques for application in computer vision. |
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| Authors: | Paulin, Goran1, Ivasic‐Kos, Marina2,3, marinai@uniri.hr |
| Source: | Artificial Intelligence Review; Sep2023, Vol. 56 Issue 9, p9221-9265, 45p |
| 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: 164982507 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=aci&AN=164982507 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-022-10358-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 45 StartPage: 9221 Titles: – TitleFull: Review and analysis of synthetic dataset generation methods and techniques for application in computer vision. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Paulin, Goran – PersonEntity: Name: NameFull: Ivasic‐Kos, Marina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 – Type: issue Value: 9 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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