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Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang;  Zhou, Liqin;  Song, Dalei
收藏  |  浏览/下载：78/0  |  提交时间：2023/11/17
Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment  
Auditory Feature Driven Model Predictive Control for Sound Source Approaching 期刊论文
International Journal of Control, Automation, and Systems, 2023, 卷号: 22, 期号: 2, 页码: 1-14
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Wei;  Ma, Hongxuan;  Zhang, Chi;  Guo, Yuxin
Adobe PDF(7966Kb)  |  收藏  |  浏览/下载：175/49  |  提交时间：2023/06/20
Source approaching control, interaural time difference, robotic audition, sound source localization.  
Practical Robotic Auditory Perception and Approaching Methods Based on Small-sized Microphone Array 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 1-16
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Chi;  Kang, Zhaobing;  Zhu, Jiagang
Adobe PDF(9439Kb)  |  收藏  |  浏览/下载：220/26  |  提交时间：2022/06/10
Aural feature extraction  robotic audition  sound source localization  source approaching control  
PWSNAS: Powering Weight Sharing NAS With General Search Space Shrinking Framework 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Hu, Yiming;  Wang, Xingang;  Gu, Qingyi
收藏  |  浏览/下载：189/0  |  提交时间：2022/06/10
Computer architecture  Training  Optimization  Extraterrestrial measurements  Estimation  Computational modeling  Search problems  Metric  neural architecture search (NAS)  search space shrinking  weight sharing  
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:  Zhang, Chi;  Zou, Wei;  Cheng, Ningbo;  Gao, Junshan
Adobe PDF(3031Kb)  |  收藏  |  浏览/下载：213/30  |  提交时间：2022/03/17
Fault-tolerant control (FTC)  integral sliding mode control (ISMC)  neural network (NN)  nonlinear control system  reinforcement learning (RL)  
A Self-Supervised CNN for Particle Inspection on Optical Element 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
作者:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
Adobe PDF(2721Kb)  |  收藏  |  浏览/下载：255/64  |  提交时间：2021/06/21
Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning  
EDDs: A series of Efficient Defect Detectors for fabric quality inspection 期刊论文
MEASUREMENT, 2021, 卷号: 172, 期号: 1, 页码: 8
作者:  Zhou, Tong;  Zhang, Jiabin;  Su, Hu;  Zou, Wei;  Zhang, Bohao
Adobe PDF(1132Kb)  |  收藏  |  浏览/下载：301/57  |  提交时间：2021/04/21
Defect detection  Convolutional neural network  Fabric quality inspection  Feature fusion  
Industrial Weak Scratches Inspection Based on Multifeature Fusion Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 14
作者:  Tao, Xian;  Zhang, Dapeng;  Hou, Wei;  Ma, Wenzhi;  Xu, De
Adobe PDF(11203Kb)  |  收藏  |  浏览/下载：353/49  |  提交时间：2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载：373/130  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：234/50  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning