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科研机构
自动化研究所 [13]
内容类型
期刊论文 [10]
会议论文 [3]
发表日期
2021 [13]
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发表日期:2021
专题:自动化研究所
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Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:
Zhang, Yujia
;
Wu, Junxian
;
Li, Qianzhong
;
Zhao, Xiaoguang
;
Tan, Min
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/04/02
Fine-grained defect segmentation
Crack detection
Semantic segmentation
Pavement inspection
High-Resolution Boundary Refined Convolutional Neural Network for Automatic Agricultural Greenhouses Extraction from GaoFen-2 Satellite Imageries
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 25
作者:
Zhang, Xiaoping
;
Cheng, Bo
;
Chen, Jinfen
;
Liang, Chenbin
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/28
Agricultural Greenhouses
DCNN
Semantic Segmentation
high resolution
context integration
boundary refined
GaoFen-2
CenterNet3D: An Anchor Free Object Detector for Point Cloud
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:
Wang, Guojun
;
Wu, Jian
;
Tian, Bin
;
Teng, Siyu
;
Chen, Long
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/01/27
Three-dimensional displays
Feature extraction
Detectors
Object detection
Proposals
Laser radar
Heating systems
Point cloud
autonomous vehicles
deep learning
3D detection
anchor free
Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5
作者:
Zhang, Zhong
;
Yang, Shuzhen
;
Liu, Shuang
;
Xiao, Baihua
;
Cao, Xiaozhong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/01/27
Clouds
Databases
Decoding
Cloud computing
Convolutional neural networks
Computer architecture
Training
Attention module
cloud detection
multiscale module
Tianjin Normal University (TJNU) cloud detection database (TCDD)
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
会议论文
线上会议, 2021-6-19 -> 2021-6-25
作者:
Xiangtai, Li
;
Hao, He
;
Xia, Li
;
Duo, Li
;
Guangliang, Cheng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/06/14
Semantic Segmentation
Aerial Image Segmentation
Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 11
作者:
Shen, Biluo
;
Zhang, Zhe
;
Shi, Xiaojing
;
Cao, Caiguang
;
Zhang, Zeyu
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2021/05/17
Fluorescence imaging
Deep learning
Convolutional neural networks
Intraoperative pathology
Gliomas
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
作者:
Bo,Wang
;
Shengpei,Wang
;
Shuang,Qiu
;
Wei,Wei
;
Haibao,Wang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/06/21
Fundus images
blood vessel segmentation
CSU-Net
feature fusion
structure loss
A high-throughput approach to explore the multi-component alloy space: A case study of nickel-based superalloys
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2021, 卷号: 858, 页码: 7
作者:
Wang, Zi
;
Zhang, Lina
;
Li, Weifu
;
Qin, Zijun
;
Wang, Zexin
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/03/15
Multi-component alloy
Diffusion multiple
Alloy design space
Zero phase fraction lines
Phase diagram
CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5
作者:
Liang Yan
;
Bin Fan
;
Shiming Xiang
;
Chunhong Pan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/15
Cross mean teacher (CMT)
self-training (ST)
semantic segmentation
unsupervised domain adaptation (UDA)
very-high-resolution (VHR) image
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 209-218
作者:
Huang, Dianye
;
Yang, Chenguang
;
Pan, Yongping
;
Cheng, Long
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2021/01/06
Manipulator dynamics
Uncertainty
Informatics
Service robots
Lyapunov methods
Barrier Lyapunov function (BLF)
composite learning (CL)
output error constraints
radial basis function neural network
robot manipulators
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