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Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field

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.identifier217687195
dc.identifier040c5b62-942b-45e4-b3e4-9fbbbce01bd7
dc.identifier85135465527
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.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.format.extent4466746
dc.language.isoeng
dc.relation.ispartofFrontiers in plant scienceen
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.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.description.statusPeer revieweden
dc.identifier.doi10.3389/fpls.2022.934450


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