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Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载：153/52  |  提交时间：2022/01/07
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, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：164/38  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
A pose estimation system based on deep neural network and ICP registration for robotic spray painting application 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 卷号: 104, 期号: 1-4, 页码: 285-299
作者:  Wang, Zhe;  Fan, Junfeng;  Jing, Fengshui;  Liu, Zhaoyang;  Tan, Min
Adobe PDF(1920Kb)  |  收藏  |  浏览/下载：383/49  |  提交时间：2019/12/16
Pose estimation  Spray painting  RGB-D sensor  Deep neural network  ICP registration  
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：356/106  |  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：287/8  |  提交时间：2019/07/12
Deep Reinforcement Learning for Query-Conditioned Video Summarization 期刊论文
Applied Sciences - Basel, 2019, 卷号: 9, 期号: 4, 页码: 750-765
作者:  Yujia Zhang;  Michael Kampffmeyer;  Xiaoguang Zhao;  Min Tan
Adobe PDF(3674Kb)  |  收藏  |  浏览/下载：276/82  |  提交时间：2019/05/05
Query-conditioned Video Summarization  Deep Reinforcement Learning  Visual-text Embedding  Temporal Modeling  Vision Application