| dc.contributor.author | Shen, Lei | |
| dc.contributor.author | Su, Jinya | |
| dc.contributor.author | Huang, Rong | |
| dc.contributor.author | Quan, Wumeng | |
| dc.contributor.author | Song, Yuyang | |
| dc.contributor.author | Fang, Yulin | |
| dc.contributor.author | Su, Baofeng | |
| dc.date.accessioned | 2022-07-25T13:09:02Z | |
| dc.date.available | 2022-07-25T13:09:02Z | |
| dc.date.issued | 2022-07-22 | |
| dc.identifier.citation | Shen , 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.2022.934450 | en |
| dc.identifier.issn | 1664-462X | |
| dc.identifier.other | PURE: 217687195 | |
| dc.identifier.other | PURE UUID: 040c5b62-942b-45e4-b3e4-9fbbbce01bd7 | |
| dc.identifier.other | Scopus: 85135465527 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18915 | |
| dc.description | Funding 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.extent | 17 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Frontiers in plant science | en |
| 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.subject | Grape | en |
| dc.subject | Instance segmentation | en |
| dc.subject | Mask R-CNN | en |
| dc.subject | Attention mechanism | en |
| dc.subject | Dense Upsampling Convolution | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Publisher PDF | en |
| dc.identifier.doi | https://doi.org/10.3389/fpls.2022.934450 | |
| dc.identifier.vol | 13 | en |
