AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization.
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| Title: | AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization. |
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| Authors: | Li, Dong1, Liang, Haowen1, lianghaowen163@163.com, Lam, Kin-Man2 |
| Source: | Applied Intelligence; Apr2024, Vol. 54 Issue 7, p5406-5416, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177189421 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li%2C+Dong%22">Li, Dong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liang%2C+Haowen%22">Liang, Haowen</searchLink><relatesTo>1</relatesTo>, <i>lianghaowen163@163.com</i><br /><searchLink fieldCode="AU" term="%22Lam%2C+Kin-Man%22">Lam, Kin-Man</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Apr2024, Vol. 54 Issue 7, p5406-5416, 11p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177189421 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10489-024-05418-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 5406 Titles: – TitleFull: AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Dong – PersonEntity: Name: NameFull: Liang, Haowen – PersonEntity: Name: NameFull: Lam, Kin-Man IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0924669X Numbering: – Type: volume Value: 54 – Type: issue Value: 7 Titles: – TitleFull: Applied Intelligence Type: main |
| ResultId | 1 |