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检索条件"机构=Shaanxi Key Laboratory for Network Computing and Security Technology"
959 条 记 录,以下是811-820 订阅
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STUI-NET: Semi-Supervised Transformer for Underwater Information Enhancement
STUI-NET: Semi-Supervised Transformer for Underwater Informa...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Zhenqiang Zhang Chuantao Li Jian Song Jialiang Lv Chunxiao Wang Zhigang Zhao Jidong Huo Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China China University of Petroleum (East China) Qingdao China
Underwater Image Restoration technology (UIRT) constitutes a pivotal base for subsequent tasks yet confronts obstacles like data scarcity and image distortion in practical deployments. To optimize the use of scarce an... 详细信息
来源: 评论
FGSNet: A Finer-Grained Siamese network for Industrial Few-Shot Anomaly Detection
FGSNet: A Finer-Grained Siamese Network for Industrial Few-S...
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IEEE International Conference on Systems, Man and Cybernetics
作者: DeLong Han Luo Xu MingLe Zhou Gang Li Min Li Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China Faculty of Data Science City University of Macau Macau China
Image anomaly detection usually relies on a large set of training samples and abnormal samples are relatively rare and challenging to obtain in daily industrial scenarios. In the scenario of Few-Shot Anomaly Detection... 详细信息
来源: 评论
Real Underwater Image Restoration From a Unified Perspective
Real Underwater Image Restoration From a Unified Perspective
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International Joint Conference on Neural networks (IJCNN)
作者: Zhenqiang Zhang Jidong Huo Chuantao Li Zhigang Zhao Chunxiao Wang Jialiang Lv Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China China University of Petroleum (East China) Qingdao China
The fidelity of underwater visual data is significantly affected by various factors, encompassing light refraction and color distortion in water. These factors often give rise to noise and distortion within underwater... 详细信息
来源: 评论
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
On the Effectiveness of Function-Level Vulnerability Detecto...
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International Conference on Software Engineering (ICSE)
作者: Zhen Li Ning Wang Deqing Zou Yating Li Ruqian Zhang Shouhuai Xu Chao Zhang Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Jin YinHu Laboratory Wuhan China Department of Computer Science University of Colorado Colorado Springs Colorado Springs Colorado USA Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as ... 详细信息
来源: 评论
Contrastive Learning for Chest X-ray Classification: A Fusion of Topological Data Analysis and ResNet
Contrastive Learning for Chest X-ray Classification: A Fusio...
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IEEE International Conference on Data Science in Cyberspace (DSC)
作者: Hao Ren Zeyu Luo Fengshi Jing Xinyue Zhang Han He Yonghao Yu Dawei Zhao Faculty of Data Science City University of Macau China Minzu University of China Beijing China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China
Lung diseases such as pneumonia and tuberculosis present significant global health challenges, leading to millions of deaths annually. Chest X-ray imaging is crucial for diagnosing these conditions, but interpretation... 详细信息
来源: 评论
Enhancing Small Object Detection in Aerial Imagery Based on Strong Feature Extraction and Batch Dimension
Enhancing Small Object Detection in Aerial Imagery Based on ...
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International Joint Conference on Neural networks (IJCNN)
作者: Bingnan Cao Di Wang Ying Guo Hu Zhang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China The Institute of Data Science City University of Macau Macau China
Object detection is a fundamental component of computer vision, playing a pivotal role in various applications. However, the accurate detection of small and densely distributed objects remains a challenging problem in... 详细信息
来源: 评论
A Short-Term Electric Load Forecasting Method Based on the Fusion of Global and Local Features
A Short-Term Electric Load Forecasting Method Based on the F...
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IEEE International Conference on Data Science in Cyberspace (DSC)
作者: Haozhan Gu Hangwei Tian Jingchun Wang Yumei Li Shandong University Of Arts Academy of Fine Arts China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China
Accurate short-term electric load forecasting is crucial for ensuring the stability and efficiency of the power grid. This study proposes an innovative dual-branch electric load forecasting model that enhances the acc... 详细信息
来源: 评论
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
arXiv
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arXiv 2024年
作者: He, Lang Chen, Kai Zhao, Junnan Wang, Yimeng Pei, Ercheng Chen, Haifeng Jiang, Jiewei Zhang, Shiqing Zhang, Jie Wang, Zhongmin He, Tao Tiwari, Prayag The School of Computer Science and Technology Xi’an University of Posts and Telecommunications Shaanxi Xi’an710121 China The Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi’an710121 China The Xi’an Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi’an710121 China The School of Electronic Engineering Xi’an University of Posts and Telecommunications Xi’an710121 China The College of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology Xi’an710016 China The Institute of Intelligent Information Processing Taizhou University Zhejiang Taizhou318000 China The School of Education Shenzhen University Shenzhen518060 China The School of Information Technology Halmstad University Halmstad Sweden
Depression can significantly impact many aspects of an individual’s life, including their personal and social functioning, academic and work performance, and overall quality of life. Many researchers within the field... 详细信息
来源: 评论
Continuous Verification of Catastrophic Recalling in Machine Unlearning via Adversarial Testing
Continuous Verification of Catastrophic Recalling in Machine...
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IEEE International Conference on Data Science in Cyberspace (DSC)
作者: Y. Neil Qu Zonghao Ji Lei Cui Chong Zhang Lei Liu Zhiyi Tian Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of IT Deakin University VIC Australia Guangzhou Institute of Technology Xidian University Guangzhou China School of Computer Science University of Technology Sydney NSW Australia
Throughout the process of machine unlearning, in order to fulfill the requirements of machine unlearning and to comply with the rules of the right to be forgotten, it is natural to verify whether the unlearning model ... 详细信息
来源: 评论
HCF-Net: Hierarchical Context Fusion network for Infrared Small Object Detection
HCF-Net: Hierarchical Context Fusion Network for Infrared Sm...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Shibiao Xu Shuchen Zheng Wenhao Xu Rongtao Xu Changwei Wang Jiguang Zhang Xiaoqiang Teng Ao Li Li Guo School of Artificial Intelligence Beijing University of Posts and Telecommunications CASIA MAIS School of Artificial Intelligence University of Chinese Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science School of Computer Science and Technology Harbin University of Science and Technology
Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels. However, it encounters diffi... 详细信息
来源: 评论