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AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202
作者:  Zhang, Li;  Du, Jianming;  Dong, Shifeng;  Wang, Fenmei;  Xie, Chengjun;  Wang, Rujing
收藏  |  浏览/下载：48/0  |  提交时间：2022/12/23
Pest recognition  Convolutional neural networks  Addernet  Energy consumption  
An effective pest detection method with automatic data augmentation strategy in the agricultural field 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
作者:  Qian, Shaowei;  Du, Jianming;  Zhou, Jianan;  Xie, Chengjun;  Jiao, Lin;  Li, Rui
收藏  |  浏览/下载：44/0  |  提交时间：2022/12/23
Deep learning  Pest detection and recognition  Data augmentation  Computer vision  
Towards densely clustered tiny pest detection in the wild environment 期刊论文
NEUROCOMPUTING, 2022, 卷号: 490
作者:  Du, Jianming;  Liu, Liu;  Li, Rui;  Jiao, Lin;  Xie, Chengjun;  Wang, Rujing
收藏  |  浏览/下载：16/0  |  提交时间：2022/12/23
Pest detection  Clustered tiny object  Small object detection  Image dataset  
WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method 期刊论文
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13
作者:  Liu, Haiyun;  Jiao, Lin;  Wang, Rujing;  Xie, Chengjun;  Du, Jianming;  Chen, Hongbo;  Li, Rui
收藏  |  浏览/下载：45/0  |  提交时间：2022/12/23
arbitrary-oriented  convolutional neural network  deep learning  wheat strip rust  detection  
ARFNet: adaptive receptive field network for detecting insulator self-explosion defects 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
作者:  Zhang, Ke;  Qian, Shaowei;  Zhou, Jianan;  Xie, Chengjun;  Du, Jianming;  Yin, Tao
收藏  |  浏览/下载：44/0  |  提交时间：2022/05/16
Insulator self-explosion  Object detection  Adaptive receptive field network  Attention mechanism  Deep learning  
A multi-branch convolutional neural network with density map for aphid counting 期刊论文
BIOSYSTEMS ENGINEERING, 2022, 卷号: 213
作者:  Li, Rui;  Wang, Rujing;  Xie, Chengjun;  Chen, Hongbo;  Long, Qi;  Liu, Liu;  Zhang, Jie;  Chen, Tianjiao;  Hu, Haiying;  Jiao, Lin;  Du, Jianming;  Liu, Haiyun
收藏  |  浏览/下载：44/0  |  提交时间：2022/12/23
Density map  Aphid counting  Convolutional neural network  Deep learning  
When Pansharpening Meets Graph Convolution Network and Knowledge Distillation 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yan, Keyu;  Zhou, Man;  Liu, Liu;  Xie, Chengjun;  Hong, Danfeng
收藏  |  浏览/下载：37/0  |  提交时间：2022/12/23
Pansharpening  Convolution  Satellites  Feature extraction  Task analysis  Knowledge engineering  Spatial resolution  Asynchronous knowledge distillation  atrous convolution  graph convolutional network (GCN)  pansharpening  
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：80/0  |  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  
S-RPN: Sampling-balanced region proposal network for small crop pest detection 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 卷号: 187
作者:  Wang, Rujing;  Jiao, Lin;  Xie, Chengjun;  Chen, Peng;  Du, Jianming;  Li, Rui
收藏  |  浏览/下载：64/0  |  提交时间：2021/11/01
Deep learning  Object detection  Small pests  Attention mechanism  Region proposals  
ReinforceNet: A reinforcement learning embedded object detection framework with region selection network 期刊论文
NEUROCOMPUTING, 2021, 卷号: 443
作者:  Zhou, Man;  Wang, Rujing;  Xie, Chengjun;  Liu, Liu;  Li, Rui;  Wang, Fangyuan;  Li, Dengshan
收藏  |  浏览/下载：56/0  |  提交时间：2021/06/15
Reinforcement learning  Convolutional neural network  Region selection network  Object detection