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ARFNet: adaptive receptive field network for detecting insulator self-explosion defects 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2022
Authors:  Zhang, Ke;  Qian, Shaowei;  Zhou, Jianan;  Xie, Chengjun;  Du, Jianming;  Yin, Tao
Favorite  |  View/Download:10/0  |  Submit date:2022/05/16
Insulator self-explosion  Object detection  Adaptive receptive field network  Attention mechanism  Deep learning  
MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation 期刊论文
FRONTIERS IN GENETICS, 2021, 卷号: 12
Authors:  Su, Run;  Zhang, Deyun;  Liu, Jinhuai;  Cheng, Chuandong
Favorite  |  View/Download:10/0  |  Submit date:2021/04/26
multi-scale block  U-net  medical image segmentation  convolution kernel  receptive field  
RFP-Net: Receptive field -based proposal generation network for object detection 期刊论文
NEUROCOMPUTING, 2020
Authors:  Jiao, Lin;  Zhang, Shengyu;  Dong, Shifeng;  Wang, Hongqiang
View  |  Adobe PDF(3378Kb)  |  Favorite  |  View/Download:28/9  |  Submit date:2020/10/26
基于有效感受野的区域推荐网络 期刊论文
模式识别与人工智能, 2020, 卷号: 33
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Favorite  |  View/Download:8/0  |  Submit date:2020/10/26
Deep Convolutional Network  Object Detection  Region Proposal  Effective Receptive Field  Region Proposal Network(RPN)  深度卷积网络  目标检测  区域推荐  有效感受野  区域推荐网络(RPN)  
Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 3, 页码: 1342-1355
Authors:  Li, Dingyi;  Liu, Yu;  Wang, Zengfu
View  |  Adobe PDF(4831Kb)  |  Favorite  |  View/Download:37/19  |  Submit date:2019/12/25
Video super-resolution  non-simultaneous  recurrent convolutional network  residual connection  model ensemble  
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder 期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 74, 期号: 无, 页码: 1-9
Authors:  Chen, Jie;  Wu, ZhongCheng;  Zhang, Jun
View  |  Adobe PDF(1663Kb)  |  Favorite  |  View/Download:38/19  |  Submit date:2020/03/31
Nonnegativity-constrained autoencoder  Driver identification  Adaptive search  Deep learning  Feature extraction  
Widening residual skipped network for semantic segmentation 期刊论文
IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 10, 页码: 880-887
Authors:  Su, Wen;  Wang, Zengfu
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Current trends in the development of intelligent unmanned autonomous systems 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 卷号: 18, 期号: 1, 页码: 68-85
Authors:  Zhang, Tao;  Li, Qing;  Zhang, Chang-shui;  Liang, Hua-wei;  Li, Ping;  Wang, Tian-miao;  Li, Shuo;  Zhu, Yun-long;  Wu, Cheng
View  |  Adobe PDF(813Kb)  |  Favorite  |  View/Download:192/156  |  Submit date:2018/07/04
Intelligent Unmanned Autonomous System  Autonomous Vehicle  Artificial Intelligence  Robotics  Development Trend  
Representative Vector Machines: A Unified Framework for Classical Classifiers 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 8, 页码: 1877-1888
Authors:  Gui, Jie;  Liu, Tongliang;  Tao, Dacheng;  Sun, Zhenan;  Tan, Tieniu
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Discriminant Vector Machine (Dvm)  Pattern Classification  Representative Vector Machines (Rvms)  Sparse Representation  Support Vector Machines (Svms)  
Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications 期刊论文
MECHATRONICS, 2015, 卷号: 31, 期号: 无, 页码: 3-15
Authors:  Zhu, Kunpeng;  Lin, Xin;  Li, Kexuan;  Jiang, Lili
View  |  Adobe PDF(1123Kb)  |  Favorite  |  View/Download:51/23  |  Submit date:2017/10/19
Sparse Decomposition  Precision Machining  Condition Monitoring