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
地理科学与资源研究所 [2]
自动化研究所 [2]
合肥物质科学研究院 [2]
深圳先进技术研究院 [1]
计算技术研究所 [1]
国家空间科学中心 [1]
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OAI收割 [13]
内容类型
期刊论文 [12]
会议论文 [1]
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2022 [1]
2021 [4]
2020 [2]
2019 [4]
2018 [1]
2017 [1]
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Computer S... [1]
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A deep learning method and device for bone marrow imaging cell detection
期刊论文
OAI收割
ANNALS OF TRANSLATIONAL MEDICINE, 2022, 卷号: 10, 期号: 4, 页码: 11
作者:
Liu, Jie
;
Yuan, Ruize
;
Li, Yinhao
;
Zhou, Lin
;
Zhang, Zhiqiang
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/12/07
Morphological analysis
diagnosis of leukemia
deep learning
object detection
A Deep Learning Model to Recognize and Quantitatively Analyze Cold Seep Substrates and the Dominant Associated Species
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2021, 卷号: 8, 页码: 11
作者:
Wang, Haining
;
Fu, Xiaoxue
;
Zhao, Chengqian
;
Luan, Zhendong
;
Li, Chaolun
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/02/18
cold seep
substrates
epifauna
Faster R-CNN
FPN
VGG16
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:55/0
  |  
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
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Yang, Haijun
;
Zhu, Haitao
;
Chen, Mingxing
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
Rivers
Visualization
Remote sensing
Manuals
Inspection
Water resources
Task analysis
Deep learning
digital surface model (DSM)
faster region convolutional neural network (R-CNN)
outfalls into river
unmanned aircraft systems (UAS) imagery
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Yang, Haijun
;
Zhu, Haitao
;
Chen, Mingxing
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/09/21
Rivers
Visualization
Remote sensing
Manuals
Inspection
Water resources
Task analysis
Deep learning
digital surface model (DSM)
faster region convolutional neural network (R-CNN)
outfalls into river
unmanned aircraft systems (UAS) imagery
AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection
期刊论文
OAI收割
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
A Deep Learning-Based Semantic Filter for RANSAC-Based Fundamental Matrix Calculation and the ORB-SLAM System
期刊论文
OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 3212-3223
作者:
Shao, Chunyan
;
Zhang, Chi
;
Fang, Zaojun
;
Yang, Guilin
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2020/12/16
ATTENTION
SELECTION
Ship Target Detection Algorithm Based on Improved Faster R-CNN
期刊论文
OAI收割
ELECTRONICS, 2019, 卷号: 8, 期号: 9, 页码: 19
作者:
Qi, Liang
;
Li, Bangyu
  |  
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/12/16
ship target detection
Faster R-CNN
scene semantic narrowing
topic narrowing subnetwork
Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2019, 卷号: 16, 期号: 4, 页码: 17
作者:
Wang, Xiaoyan
;
Zhong, Xingyu
;
Xia, Ming
;
Jiang, Weiwei
;
Huang, Xiaojie
  |  
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2019/12/16
Object detection
convolutional neural networks
ensemble feature maps
Automatic extraction of gravity waves from all-sky airglow image based on machine learning
期刊论文
OAI收割
Remote Sensing, 2019, 卷号: 11, 期号: 13
作者:
Lai, Chang
;
Xu, Jiyao
;
Yue, Jia
;
Yuan, Wei
;
Liu, Xiao
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/08/26