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检索条件"机构=Processing Department of Computer Science and Technology"
2249 条 记 录,以下是1-10 订阅
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GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
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science China(Information sciences) 2025年 第1期68卷 145-158页
作者: Wei JU Yiyang GU Zhengyang MAO Ziyue QIAO Yifang QIN Xiao LUO Hui XIONG Ming ZHANG School of Computer Science National Key Laboratory for Multimedia Information ProcessingPeking University Artificial Intelligence Thrust The Hong Kong University of Science and Technology Department of Computer Science University of California
Self-supervised graph representation learning has recently shown considerable promise in a range of fields, including bioinformatics and social networks. A large number of graph contrastive learning approaches have sh... 详细信息
来源: 评论
TBIA-DBNet: A Two-Branch Image-Adaptive DBNet for Scene Text Detection in Real-World Foggy Scenes  27th
TBIA-DBNet: A Two-Branch Image-Adaptive DBNet for Scene Tex...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Liu, Zhaoxi Zhou, Gang He, Runlin Zhang, Mengnan Jia, Zhenhong Ma, Jing Key Laboratory of Signal Detection and Processing Department of Computer Science and Technology Xinjiang University Urumqi China
Though deep learning-based scene text detection methods have achieved promising results on conventional datasets, these methods are unable to maintain optimal performance in adverse weather conditions, such as foggy w... 详细信息
来源: 评论
Deformable Multi-Scale Network for Snow Removal in Video  27th
Deformable Multi-Scale Network for Snow Removal in Video
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27th International Conference on Pattern Recognition, ICPR 2024
作者: He, Runlin Zhou, Gang Xue, Tianhao Liu, Zhaoxi Jia, Zhenhong Key Laboratory of Signal Detection and Processing Department of Computer Science and Technology Xinjiang University Urumqi China
Snowfall severely degrades outdoor video visibility while reducing the performance of subsequent vision tasks. Although video recovery methods based on deep learning have achieved amazing accomplishments, video snow r... 详细信息
来源: 评论
Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class  24
Weakly-Supervised Graph Classification with Even a Single Ke...
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24th IEEE International Conference on Data Mining, ICDM 2024
作者: Zhang, Lu Zhang, Chenbo Guan, Jihong Zhou, Shuigeng School of Computer Science Fudan University Shanghai Key Lab of Intelligent Information Processing China Tongji University Department of Computer Science & Technology China
Traditional graph classification requires large amounts of labeled data, which is expensive and time-consuming to acquire, especially in some special scenarios that domain knowledge is indispensable for labeling graph... 详细信息
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Few-Shot Object Detection Based on the Transformer and High-Resolution Network
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computers, Materials & Continua 2023年 第2期74卷 3439-3454页
作者: Dengyong Zhang Huaijian Pu Feng Li Xiangling Ding Victor S.Sheng Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China School of Computer Science and Engineering Hunan University of Science and TechnologyXiangtan411004China Department of Computer Science Texas Tech UniversityLubbock79409TXUSA
Now object detection based on deep learning tries different *** uses fewer data training networks to achieve the effect of large dataset ***,the existing methods usually do not achieve the balance between network para... 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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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
Improving ECAPA-TDNN Performance with Coordinate Attention
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Journal of Shanghai Jiaotong University (science) 2024年 1-7页
作者: Liu, Shuanghong Song, Zhida He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China
The current mainstream networks, such as squeeze and excitation residual neural network (SE-ResNet) and emphasized channel attention, propagation and aggregation based time delay neural network (ECAPA-TDNN), enhance t... 详细信息
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Blockchain-Based Framework for Stock Market Operations: IPOs, Trading, and Dividend Distribution  15
Blockchain-Based Framework for Stock Market Operations: IPOs...
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15th IEEE International Conference on Cloud Computing technology and science, CloudCom 2024
作者: Sharshar, Muhammad Elzeky, Kareem Othman, Menna Khaled, SeifAldin Moubarak, Hosam Gomaa, Walid Department of Computer Science United Arab Emirates Mbzuai Department of Natural Language Processing United Arab Emirates Egypt-Japan University of Science and Technology Cyber-Physical Lab Department of Computer Engineering Egypt Egypt-Japan University of Science and Technology Accounting Department Egypt
This study examines blockchain technology's potential to enhance the stock market by offering a decentralized alternative to the traditional system. The study explores the challenges of the current traditional sto... 详细信息
来源: 评论