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检索条件"机构=State Key Laboratory Software Engineering and School Computer and Complex Network Research Center"
544 条 记 录,以下是151-160 订阅
排序:
Robust Synthetic-to-Real Transfer for Stereo Matching
arXiv
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arXiv 2024年
作者: Zhang, Jiawei Li, Jiahe Huang, Lei Yu, Xiaohan Gu, Lin Zheng, Jin Bai, Xiao School of Computer Science and Engineering State Key Laboratory of Complex & Critical Software Environment Jiangxi Research Institute Beihang University China SKLCCSE Institute of Artificial Intelligence Beihang University China School of Computing Macquarie University Australia RIKEN AIP Japan The University of Tokyo Japan
With advancements in domain generalized stereo matching networks, models pre-trained on synthetic data demonstrate strong robustness to unseen domains. However, few studies have investigated the robustness after fine-... 详细信息
来源: 评论
AUTOMATICALLY ADJUSTABLE MULTI-SCALE FEATURE EXTRACTION FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
AUTOMATICALLY ADJUSTABLE MULTI-SCALE FEATURE EXTRACTION FRAM...
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2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
作者: Yang, Jiaqi Du, Bo Wu, Chen Zhang, Liangpei State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430079 China National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan430072 China
Recently, deep learning-based methods have shown the great potential in hyperspectral image (HSI) classification. Nevertheless, feature extraction by convolutional neural network (CNN) is often performed on only one s... 详细信息
来源: 评论
HPCNet: A Hybrid Progressive Coupled network for Image Deraining
HPCNet: A Hybrid Progressive Coupled Network for Image Derai...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Qiong Wang Kui Jiang Jinyi Lai Zheng Wang Jianhui Zhang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering Huawei Technologies Cloud BU College of Computer Science and Technology Hangzhou Dianzi University
Convolutional neural networks (CNNs) and Transformers have significantly succeeded in low-level vision tasks. Although prominent complementary characteristics exist regarding the larger receptive field and better conv...
来源: 评论
MANDARIN LOMBARD FLAVOR CLASSIFICATION
arXiv
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arXiv 2023年
作者: Liu, Qingmu Yang, Yuhong Li, Baifeng Chen, Hongyang Tu, Weiping Lin, Song National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan China Guangdong OPPO Mobile Telecommunications Corp. China
The Lombard effect refers to individuals’ unconscious modulation of vocal effort in response to variations in the ambient noise levels, intending to enhance speech intelligibility. The impact of different decibel lev... 详细信息
来源: 评论
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
arXiv
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arXiv 2023年
作者: Zhu, Miaoxi Shen, Li Du, Bo Tao, Dacheng School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China JD Explore Academy China The University of Sydney Australia
The growing size of available data has attracted increasing interest in solving minimax problems in a decentralized manner for various machine learning tasks. Previous theoretical research has primarily focused on the... 详细信息
来源: 评论
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models
arXiv
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arXiv 2023年
作者: Zhu, Miaoxi Zhong, Qihuang Shen, Li Ding, Liang Liu, Juhua Du, Bo Tao, Dacheng School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China JD Explore Academy China The University of Sydney Australia
Quantization is a promising approach for reducing memory overhead and accelerating inference, especially in large pre-trained language model (PLM) scenarios. While having no access to original training data due to sec... 详细信息
来源: 评论
EMALG: AN ENHANCED MANDARIN LOMBARD GRID CORPUS WITH MEANINGFUL SENTENCES
arXiv
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arXiv 2023年
作者: Li, Baifeng Liu, Qingmu Yang, Yuhong Chen, Hongyang Tu, Weiping Lin, Song National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan China Guangdong OPPO Mobile Telecommunications Corp. China
This study investigates the Lombard effect, where individuals adapt their speech in noisy environments. We introduce an enhanced Mandarin Lombard grid (EMALG) corpus with meaningful sentences, enhancing the Mandarin L...
来源: 评论
Stability and generalization of the decentralized stochastic gradient descent ascent algorithm  23
Stability and generalization of the decentralized stochastic...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Miaoxi Zhu Li Shen Bo Du Dacheng Tao School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence and Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China JD Explore Academy China The University of Sydney Australia
The growing size of available data has attracted increasing interest in solving minimax problems in a decentralized manner for various machine learning tasks. Previous theoretical research has primarily focused on the...
来源: 评论
Joint Secure and Covert Communications for Active STAR-RIS Assisted ISAC Systems
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IEEE Transactions on Wireless Communications 2025年
作者: Guo, Liang Jia, Jie Mu, Xidong Liu, Yuanwei Chen, Jian Wang, Xingwei Northeastern University School of Computer Science and Engineering China Northeastern University Engineering Research Center of Security Technology of Complex Network System Ministry of Education China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China BelfastBT3 9DT United Kingdom Department of Electrical and Electronic Engineering China
This paper investigates the design of jointly supporting physical layer security (PLS) and covert communications (CCs) in an active simultaneously transmitting and reflecting reconfigurable intelligent surface (a-STAR... 详细信息
来源: 评论
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
arXiv
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arXiv 2023年
作者: Cheng, Hao Kong, Shufeng Deng, Yanchen Liu, Caihua Wu, Xiaohu An, Bo Wang, Chongjun State Key Laboratory for Novel Software Technology Nanjing University China School of Software Engineering Sun Yat-Sen University China School of Computer Science and Engineering Nanyang Technological University Singapore School of Artificial Intelligence Guilin University of Electronic Technology China National Engineering Research Center of Mobile Network Technologies Beijing University of Posts and Telecommunications China
Core-selecting combinatorial auctions (CAs) restrict the auction result in the core such that no coalitions could improve their utilities by engaging in collusion. The minimum-revenue-core (MRC) rule is a widely used ... 详细信息
来源: 评论