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dc.contributor.authorShen, Lei
dc.contributor.authorSu, Jinya
dc.contributor.authorHuang, Rong
dc.contributor.authorQuan, Wumeng
dc.contributor.authorSong, Yuyang
dc.contributor.authorFang, Yulin
dc.contributor.authorSu, Baofeng
dc.date.accessioned2022-07-25T13:09:02Z
dc.date.available2022-07-25T13:09:02Z
dc.date.issued2022-07-22
dc.identifier.citationShen , L , Su , J , Huang , R , Quan , W , Song , Y , Fang , Y & Su , B 2022 , ' Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field ' , Frontiers in plant science , vol. 13 , 934450 . https://doi.org/10.3389/fpls.2022.934450en
dc.identifier.issn1664-462X
dc.identifier.otherPURE: 217687195
dc.identifier.otherPURE UUID: 040c5b62-942b-45e4-b3e4-9fbbbce01bd7
dc.identifier.urihttps://hdl.handle.net/2164/18915
dc.descriptionFunding This work was supported by the National Key R&D Program Project of China (Grant No. 2019YFD1002500), Guangxi Key R&D Program Project (Grant No. Gui Ke AB21076001) and the Shaanxi Provincial Key R&D Program Project (Grant No. 2021NY-041). Acknowledgments We would like to thank Shan Chen, Lijie Song, Shihao Zhang and Qifan Chen for their work on field data collection.en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofFrontiers in plant scienceen
dc.rights© 2022 Shen, Su, Huang, Quan, Song, Fang and Su. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. https://creativecommons.org/licenses/by/4.0/en
dc.subjectGrapeen
dc.subjectInstance segmentationen
dc.subjectMask R-CNNen
dc.subjectAttention mechanismen
dc.subjectDense Upsampling Convolutionen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleFusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the fielden
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3389/fpls.2022.934450


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