中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
合肥物质科学研究院 [36]
昆明植物研究所 [3]
海洋研究所 [1]
植物研究所 [1]
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OAI收割 [41]
内容类型
期刊论文 [40]
会议论文 [1]
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2022 [8]
2021 [6]
2020 [7]
2019 [1]
2018 [4]
2017 [3]
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学科主题
仿生感知与控制::仿... [4]
智能信息系统::模式... [4]
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浏览/检索结果:
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AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202
作者:
Zhang, Li
;
Du, Jianming
;
Dong, Shifeng
;
Wang, Fenmei
;
Xie, Chengjun
  |  
收藏
  |  
浏览/下载:28/0
  |  
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
OAI收割
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
作者:
Qian, Shaowei
;
Du, Jianming
;
Zhou, Jianan
;
Xie, Chengjun
;
Jiao, Lin
  |  
收藏
  |  
浏览/下载:15/0
  |  
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
OAI收割
NEUROCOMPUTING, 2022, 卷号: 490
作者:
Du, Jianming
;
Liu, Liu
;
Li, Rui
;
Jiao, Lin
;
Xie, Chengjun
  |  
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
OAI收割
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13
作者:
Liu, Haiyun
;
Jiao, Lin
;
Wang, Rujing
;
Xie, Chengjun
;
Du, Jianming
  |  
收藏
  |  
浏览/下载:18/0
  |  
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
OAI收割
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
作者:
Zhang, Ke
;
Qian, Shaowei
;
Zhou, Jianan
;
Xie, Chengjun
;
Du, Jianming
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2022/05/16
Insulator self-explosion
Object detection
Adaptive receptive field network
Attention mechanism
Deep learning
Upper-Ocean Lateral Heat Transports in the Nino3.4 Region and Their Connection with ENSO
期刊论文
OAI收割
JOURNAL OF METEOROLOGICAL RESEARCH, 2022, 卷号: 36, 期号: 2, 页码: 360-373
作者:
Zhao, He
;
Wu, Tongwen
;
Li, Laurent Z. X.
;
Wu, Fanghua
;
Jie, Weihua
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/07/18
heat budget
lateral heat transport
surface heat flux
Nino3.4 region
El Nino-Southern Oscillation (EN-SO)
When Pansharpening Meets Graph Convolution Network and Knowledge Distillation
期刊论文
OAI收割
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:18/0
  |  
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
A multi-branch convolutional neural network with density map for aphid counting
期刊论文
OAI收割
BIOSYSTEMS ENGINEERING, 2022, 卷号: 213
作者:
Li, Rui
;
Wang, Rujing
;
Xie, Chengjun
;
Chen, Hongbo
;
Long, Qi
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/12/23
Density map
Aphid counting
Convolutional neural network
Deep learning
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features
期刊论文
OAI收割
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:54/0
  |  
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
OAI收割
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:19/0
  |  
提交时间:2021/11/01
Deep learning
Object detection
Small pests
Attention mechanism
Region proposals