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检索条件"机构=Key Laboratory of Image Processing and Intelligent Control"
3176 条 记 录,以下是931-940 订阅
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Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method
arXiv
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arXiv 2023年
作者: Yu, Fusheng Li, Jiang Wang, Xiaoping Wu, Shaojin Zhang, Junjie Zeng, Zhigang The School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China The Hubei Key Laboratory of Brain-Inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China The Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China
Detecting safety clothing and helmets is paramount for ensuring the safety of construction workers. However, the development of deep learning models in this domain has been impeded by the scarcity of high-quality data... 详细信息
来源: 评论
Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement
Self-supervised Multi-frame Monocular Depth Estimation with ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Wenhua Wu Guangming Wang Jiquan Zhong Hesheng Wang Zhe Liu MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Insititute of Medical Robotics Shanghai Jiao Tong University Shanghai China
Depth estimation is one of the most important tasks in scene understanding. In the existing joint self-supervised learning approaches of depth-pose estimation, depth estimation and pose estimation networks are indepen...
来源: 评论
A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2  5
A Real-Time Forest Fire Recognition Method Based on R-shuffl...
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5th International Symposium on Autonomous Systems, ISAS 2022
作者: Li, Mengna Zhang, Youmin Mu, Lingxia Xin, Jing Xue, Xianghong Jiao, Shangbin Liu, Han Xie, Guo Yi, Yingmin Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Shaanxi Xi'an710048 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada
The recognition of early forest fires can reduce the resource loss caused by fire combustion. A real-time forest fire image recognition method based on r-shufflenetv2 network is proposed. R-shufflenetv2 is mainly comp... 详细信息
来源: 评论
Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB images
arXiv
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arXiv 2025年
作者: Feng, Fuxiang Cong, Runmin Wei, Shoushui Zhang, Yipeng Li, Jun Kwong, Sam Zhang, Wei The School of Control Science and Engineering Shandong University Jinan250061 China The Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan250061 China The University of California Los Angeles United States The Hubei Key Laboratory of Intelligent Geo-Information Processing The School of Computer Science China University of Geo-sciences Wuhan430078 China The Lingnan University Hong Kong
Reconstructing Hyperspectral images (HSI) from RGB images can yield high spatial resolution HSI at a lower cost, demonstrating significant application potential. This paper reveals that local correlation and global co... 详细信息
来源: 评论
An Errors Correction Model for the Errors of Non-word and Real-word in English Composition
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Journal of Computers (Taiwan) 2022年 第1期33卷 139-150页
作者: Huang, Guimin Li, Maolin Guangxi Key Laboratory of Image and Graphic Intelligent Processing School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China
In the procedure from composing English, it is inevitable to face the phenomenon of word writing errors. In recent years, English composition automatic correcting system has attracted much attention. However, the prec... 详细信息
来源: 评论
Adaptive Sliding Mode Synchronization of Different Hyperjerk Chaotic Systems Using RBF Neural Network  11
Adaptive Sliding Mode Synchronization of Different Hyperjerk...
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11th International Conference on intelligent control and Information processing, ICICIP 2021
作者: Zhang, Baojie Chongqing Three Gorges University College of Computer Science and Engineering Chongqing Three Gorges University Key Laboratory of Intelligent Information Processing and Control Chongqing Wanzhou 404100 China
In this paper, we consider the synchronization of hyperjerk chaotic systems with different structures. Besides the order, the systems are unknown with external disturbances. We use sliding mode control method to deal ... 详细信息
来源: 评论
An Analysis Model of Potential Topics in English Essays Based on Semantic Space
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Journal of Computers (Taiwan) 2022年 第1期33卷 151-164页
作者: Huang, Guimin Zhang, Xiaowei Guangxi Key Laboratory of Image and Graphic Intelligent Processing School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China
With the reform of English examination in China in recent years, the automatic evaluation of English essays as subjective questions has always been the focus and difficulty of research. The existing automatic essay ev... 详细信息
来源: 评论
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral image
arXiv
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arXiv 2025年
作者: Ding, Yao Kang, Weijie Yang, Aitao Zhang, Zhili Zhao, Junyang Feng, Jie Hong, Danfeng Zheng, Qinghe The Key Laboratory of Intelligent Control PLA Rocket Force University of Engineering Xi’an710025 China The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University Xi’an710071 China The Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China The School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China
Hyperspectral image (HSI) clustering has been a fundamental but challenging task with zero training labels. Currently, some deep graph clustering methods have been successfully explored for HSI due to their outstandin... 详细信息
来源: 评论
A Single-Cell Clustering Algorithm Based on Structure Perturbation Non-Negative Matrix Factorization
A Single-Cell Clustering Algorithm Based on Structure Pertur...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Jiang, Hanjing Wang, Meineng Zhang, Luping Huang, Yu-An Li, Yangyuan Huang, Yabing Huazhong University of Science and Technology Key Laboratory of Image Information Processing and Intelligent Control Education Ministry of China Institute of Artificial Intelligence School of Artificial Intelligence and Automation Hubei Wuhan430074 China China University of Mining and Technology School of Computer Science and Technology Xuzhou221116 China Yichun University School of Mathematics and Computer Science Yichun336000 China East China University of Technology School of Information Engineering Nanchang330013 China Northwestern Polytechnical University School of Computer Science Xi'an710129 China Renmin Hospital Wuhan University Department of Pathology Wuhan430060 China
The advent of single-cell RNA sequencing (scRNA-seq) has facilitated the acquisition of high-resolution data regarding cell heterogeneity across various tissues. A fundamental and critical step in the analysis of scRN... 详细信息
来源: 评论
Tracking control for High-order Fully Actuated System with Input Constraints by Explicit Reference Governor
Tracking Control for High-order Fully Actuated System with I...
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Fully Actuated System Theory and Applications (CFASTA), Conference on
作者: Lin Yang Yuanlong Li Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China and Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai P. R. China
This paper studies the tracking control problem of high-order fully actuated system subject to input constraints. Since there exist input constraints, an inappropriate reference signal being tracked may cause actuator...
来源: 评论