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CASIA OpenIR
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Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：197/1  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：129/1  |  提交时间：2021/06/07
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：391/107  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network 期刊论文
JOURNAL OF SENSORS, 2019, 卷号: 2019, 页码: 8
作者:  Gao, Zishu;  Yang, Guodong;  Li, En;  Shen, Tianyu;  Wang, Zhe;  Tian, Yunong;  Wang, Hao;  Liang, Zize
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：351/75  |  提交时间：2020/03/30
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：349/102  |  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
Adobe PDF(2312Kb)  |  收藏  |  浏览/下载：280/4  |  提交时间：2019/07/12
A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 卷号: 94, 期号: 1-4, 页码: 1209-1220
作者:  Yang, Lei;  Li, En;  Long, Teng;  Fan, Junfeng;  Mao, Yijian;  Fang, Zaojun;  Liang, Zize
Adobe PDF(2802Kb)  |  收藏  |  浏览/下载：412/123  |  提交时间：2018/03/03
Welding Quality  Sfs  3d Reconstruction  Feature Extraction  Svm