GE-Detection: Efficient Attention and Dropout for Low-Light Object Detection.
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| Title: | GE-Detection: Efficient Attention and Dropout for Low-Light Object Detection. |
|---|---|
| Authors: | Li, Xiaochen1 (AUTHOR), Zhao, Hongtian1 (AUTHOR) zhaohongtian@xju.edu.cn |
| Source: | Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3909. 23p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194914308 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: GE-Detection: Efficient Attention and Dropout for Low-Light Object Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Xiaochen%22">Li, Xiaochen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Hongtian%22">Zhao, Hongtian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhaohongtian@xju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jun2026, Vol. 26 Issue 12, p3909. 23p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194914308 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26123909 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 3909 Titles: – TitleFull: GE-Detection: Efficient Attention and Dropout for Low-Light Object Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Xiaochen – PersonEntity: Name: NameFull: Zhao, Hongtian IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14248220 Numbering: – Type: volume Value: 26 – Type: issue Value: 12 Titles: – TitleFull: Sensors (14248220) Type: main |
| ResultId | 1 |