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

Shen, LeiSu, JinyaHuang, RongQuan, WumengSong, YuyangFang, YulinSu, Baofeng2022-07-252022-07-252022-07-22Shen, 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.2022.9344501664-462Xhttps://hdl.handle.net/2164/18915Funding 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.174466746engGrapeInstance segmentationMask R-CNNAttention mechanismDense Upsampling ConvolutionQA75 Electronic computers. Computer scienceQA75Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the fieldJournal article10.3389/fpls.2022.93445013