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Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：359/102  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
Apple detection during different growth stages in orchards using the improved YOLO-V3 model 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 卷号: 157, 页码: 417-426
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Wang, Hao;  Li, En;  Liang, Zize
Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：326/93  |  提交时间：2019/07/12
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
JOURNAL OF SENSORS, 2019, 页码: 13
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
收藏  |  浏览/下载：234/0  |  提交时间：2019/07/12
A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review 期刊论文
IEEE SENSORS JOURNAL, 2018, 卷号: 18, 期号: 21, 页码: 8631-8641
作者:  Yang, Lei;  Li, En;  Long, Teng;  Fan, Junfeng;  Liang, Zize
Adobe PDF(2552Kb)  |  收藏  |  浏览/下载：226/21  |  提交时间：2019/12/16
Seam extraction  structured light vision  target tracking  KCF