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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：77/0  |  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  
AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild 期刊论文
SENSORS, 2021, 卷号: 21
作者:  Wang, Rujing;  Liu, Liu;  Xie, Chengjun;  Yang, Po;  Li, Rui;  Zhou, Man
收藏  |  浏览/下载：76/0  |  提交时间：2021/04/26
pest detection  agricultural dataset  AgriPest  deep learning  
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：96/0  |  提交时间：2020/11/30
Scale variation  Object detection  RoI Pyramid  Scale-aware feature selective