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

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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.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2022-07-25T13:09:02Z
dc.date.available2022-07-25T13:09:02Z
dc.date.issued2022-07-22
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.description.statusPeer revieweden
dc.format.extent17
dc.format.extent4466746
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.doi10.3389/fpls.2022.934450
dc.identifier.issn1664-462X
dc.identifier.urihttps://hdl.handle.net/2164/18915
dc.identifier.vol13en
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

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