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浏览/检索结果: 共10条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment 期刊论文 INSECTS, 2022, 卷号: 13 作者:  Kang, Chenrui;  Jiao, Lin;  Wang, Rujing;  Liu, Zhigui;  Du, Jianming 收藏  |  浏览/下载：16/0  |  提交时间：2022/12/23 corn pest  convolution neural network  detection  attention  feature pyramid network   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 收藏  |  浏览/下载：8/0  |  提交时间：2022/12/23 Deep learning  Pest detection and recognition  Data augmentation  Computer vision   Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection 期刊论文 FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13 作者:  Jiao, Lin;  Li, Gaoqiang;  Chen, Peng;  Wang, Rujing;  Du, Jianming 收藏  |  浏览/下载：12/0  |  提交时间：2022/12/23 deep learning  convolutional neural network  deformable residual network  agricultural pest  target detection   CRA-Net: A channel recalibration feature pyramid network for detecting small pests 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 卷号: 191 作者:  Dong, Shifeng;  Wang, Rujing;  Liu, Kang;  Jiao, Lin;  Li, Rui 收藏  |  浏览/下载：65/0  |  提交时间：2022/03/28 Adaptive anchor  Convolutional neural networks  Feature pyramid network  Multi-class pest detection   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 收藏  |  浏览/下载：50/0  |  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 收藏  |  浏览/下载：39/0  |  提交时间：2021/11/01 Deep learning  Object detection  Small pests  Attention mechanism  Region proposals   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 收藏  |  浏览/下载：22/0  |  提交时间：2021/04/26 pest detection  agricultural dataset  AgriPest  deep learning   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：32/0  |  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：27/0  |  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   An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field 期刊论文 IEEE ACCESS, 2019, 卷号: 7 作者:  Li, Rui;  Wang, Rujing;  Zhang, Jie;  Xie, Chengjun;  Liu, Liu 收藏  |  浏览/下载：9/0  |  提交时间：2020/10/28 Pest localization  pest recognition  convolutional neural network  multi-scale  data augmentation