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Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:  Liu, Liu;  Xie, Chengjun;  Wang, Rujing;  Yang, Po;  Sudirman, Sud;  Zhang, Jie;  Li, Rui;  Wang, Fangyuan
收藏  |  浏览/下载：76/0  |  提交时间：2021/09/06
Feature extraction  Monitoring  Machine learning  Object detection  Agriculture  Proposals  Image recognition  Convolutional neural network (CNN)  global activated feature pyramid network  local activated region proposal network  pest monitoring  
Learning region-guided scale-aware feature selection for object detection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020
作者:  Liu, Liu;  Wang, Rujing;  Xie, Chengjun;  Li, Rui;  Wang, Fangyuan;  Zhou, Man;  Teng, Yue
收藏  |  浏览/下载：94/0  |  提交时间：2020/11/30
Scale variation  Object detection  RoI Pyramid  Scale-aware feature selective  
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 174
作者:  Jiao, Lin;  Dong, Shifeng;  Zhang, Shengyu;  Xie, Chengjun;  Wang, Hongqiang
收藏  |  浏览/下载：50/0  |  提交时间：2020/11/26
Agricultural pest detection  Fusion features  Anchor-free  RCNN  Region proposals  
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 169
作者:  Wang, Fangyuan;  Wang, Rujing;  Xie, Chengjun;  Yang, Po;  Liu, Liu
收藏  |  浏览/下载：58/0  |  提交时间：2020/11/26
Convolutional neural network  Context-aware attention network  Multi-projection pest detection model  In-field pest in food crop