GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework.
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| Title: | GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework. |
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| Authors: | Dong, Chengang1, Tang, Yuhao1, Zhang, Liyan1, zhangliyan@nuaa.edu.cn |
| Source: | Cluster Computing; Sep2024, Vol. 27 Issue 6, p7401-7415, 15p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179438458 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dong%2C+Chengang%22">Dong, Chengang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Yuhao%22">Tang, Yuhao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Liyan%22">Zhang, Liyan</searchLink><relatesTo>1</relatesTo>, <i>zhangliyan@nuaa.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cluster+Computing%22">Cluster Computing</searchLink>; Sep2024, Vol. 27 Issue 6, p7401-7415, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179438458 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10586-024-04373-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 7401 Titles: – TitleFull: GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dong, Chengang – PersonEntity: Name: NameFull: Tang, Yuhao – PersonEntity: Name: NameFull: Zhang, Liyan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13867857 Numbering: – Type: volume Value: 27 – Type: issue Value: 6 Titles: – TitleFull: Cluster Computing Type: main |
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