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检索条件"机构=Provincial Key Laboratory for Computer Information Processing Technology"
5963 条 记 录,以下是71-80 订阅
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Cross-Modal Ship Grounding: Towards Large Model for Enhanced Few-Shot Learning  27th
Cross-Modal Ship Grounding: Towards Large Model for Enhanced...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hu, Quan Chen, Li Feng, Zhida Chen, Yaojie School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Wuhan China
A growing body of research indicates that employing large models for adaptation to downstream tasks often yields remarkable performance. However, in the domain of ship detection, the potential of these large models is... 详细信息
来源: 评论
Toward Comprehensive Semantic Prompt for Region Contrastive Learning Underwater Image Enhancement
Toward Comprehensive Semantic Prompt for Region Contrastive ...
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2025 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Wang, Xiao Fu, Yongsheng Wang, Wei Liu, Wei School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China
Underwater image enhancement (UIE) focuses on mitigating image quality degradation due to light absorption and scattering. However, most existing methods enhance images via a global and uniform manner, neglecting the ... 详细信息
来源: 评论
Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network
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Neural Computing and Applications 2025年 1-23页
作者: Dai, Jianhua Tan, Ping Xiao, Lin Wang, Zidong He, Yongjun Zuo, Qiuyue Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing MOE-LCSM Hunan Normal University Hunan Changsha410081 China Department of Computer Science Brunel University London UxbridgeUB8 3PH United Kingdom
The leader-follower consensus control problem in multi-agent systems (MASs) is critical and has received significant attention. However, the simultaneous achievement of fixed-time stability and robustness is often cha... 详细信息
来源: 评论
A Multi-Objective Particle Swarm Optimization Algorithm Based on Decomposition and Multi-Selection Strategy
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computers, Materials & Continua 2025年 第1期82卷 997-1026页
作者: Li Ma Cai Dai Xingsi Xue Cheng Peng School of Computer Science Shaanxi Normal UniversityXi’an710119China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of TechnologyFuzhou350118China Information Construction and Management Center and Institute of Artificial Intelligence and Educational New Productivity Ningxia Normal UniversityGuyuan756099China
The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization *** the article,amulti-objective particle swarm optimization algorithmbased on decomposition and mul... 详细信息
来源: 评论
Visual Language Model based Cross-modal Semantic Communication Systems
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IEEE Transactions on Wireless Communications 2025年 第5期24卷 3937-3948页
作者: Jiang, Feibo Tang, Chuanguo Dong, Li Wang, Kezhi Yang, Kun Pan, Cunhua Hunan Normal University Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Changsha410081 China Hunan Normal University School of Information Science and Engineering Changsha410081 China Hunan University of Technology and Business School of Computer Science Changsha410205 China Xiangjiang Laboratory Changsha410205 China Brunel University London Department of Computer Science UxbridgeUB8 3PH United Kingdom Nanjing University School of Intelligent Software and Engineering Suzhou215163 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China
Semantic Communication (SC) has emerged as a novel communication paradigm in recent years. Nevertheless, extant Image Semantic Communication (ISC) systems face several challenges in dynamic environments, including low... 详细信息
来源: 评论
Improving Speaker Verification Back-End with Graph Neural Networks
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Journal of Shanghai Jiaotong University (Science) 2025年 1-9页
作者: Chen, Jinfeng Fang, Zhihua He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
Currently, research on speaker verification tasks is primarily concentrated on enhancing deep speaker models to extract high-quality speaker embeddings. Nevertheless, this speaker embeddings can be regarded as potenti... 详细信息
来源: 评论
Anomalous Sound Detection Using Time-Frequency Feature and Mixbatch
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Journal of Shanghai Jiaotong University (Science) 2025年 1-8页
作者: Huang, Shun Zhang, Yunxiang Fang, Zhihua Tang, Minrui Xu, Ruifeng He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
The sound emitted by machines under abnormal working conditions exhibits various frequency patterns. Currently, the most advanced anomalous sound detection (ASD) approach is to apply a multi-head self-attention mechan... 详细信息
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Multiband Kick Drum Separation with Genre-Guided Optimization  10th
Multiband Kick Drum Separation with Genre-Guided Optimizati...
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10th Conference on Sound and Music technology, CSMT 2023
作者: Li, Si Jiang, Yuanfeng Wang, Zhaowen Qian, Jiale Li, Wei School of Computer Science and Technology Fudan University Shanghai200438 China Department of Music AI and Information Technology Central Conservatory of Music Beijing100091 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai200433 China
Kick drum plays an important role in electronic music. When hearing an excellent kick drum sound from a reference music track, music production beginners always feel confused about how it will sound if we solo the kic... 详细信息
来源: 评论
Dual-Path Spectrogram Refinement Network for Robust Speaker Verification
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Journal of Shanghai Jiaotong University (Science) 2025年 1-9页
作者: Wang, Zonghui Fang, Zhihua He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
The accuracy and reliability of automatic speaker verification (ASV) face significant challenges in noisy environments. In recent years, joint training of speech enhancement front-end and ASV back-end has been widely ... 详细信息
来源: 评论
EPRFL:An Efficient Privacy-Preserving and Robust Federated Learning Scheme for Fog Computing
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China Communications 2025年 第4期22卷 202-222页
作者: Ke Zhijie Xie Yong Syed Hamad Shirazi Li Haifeng School of Computer Technology and Application Qinghai UniversityXining 810016China School of Computer and Information Science Qinghai Institute of TechnologyXining 810016China Guangdong Key Laboratory of Blockchain Security Guangzhou UniversityGuangzhou 510006China Department of Information Technology Hazara UniversityBaffa 21110Pakistan Qinghai Provincial Key Laboratory of Big Data in Finance and Artificial Intelligence Application Technology Xining 810016China
Federated learning(FL)is a distributed machine learning paradigm that excels at preserving data privacy when using data from multiple *** combined with Fog Computing,FL offers enhanced capabilities for machine learnin... 详细信息
来源: 评论