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检索条件"机构=Baidu Research and National Engineering Laboratory for Deep Learning Technology and Application"
99 条 记 录,以下是71-80 订阅
排序:
RBCN: Rectified Binary convolutional networks for enhancing the Performance of 1-bit DCNNs
arXiv
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arXiv 2019年
作者: Liu, Chunlei Ding, Wenrui Xia, Xin Hu, Yuan Zhang, Baochang Liu, Jianzhuang Zhuang, Bohan Guo, Guodong School of Electronic and Information Engineering Beihang University Unmanned System Research Institute Beihang University School of Automation Science and Electrical Engineering Beihang University Huawei Noah's Ark Lab University of Adelaide Institute of Deep Learning Baidu Research National Engineering Laboratory for Deep Learning Technology and Application
Binarized convolutional neural networks (BCNNs) are widely used to improve memory and computation efficiency of deep convolutional neural networks (DCNNs) for mobile and AI chips based applications. However, current B... 详细信息
来源: 评论
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
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International Conference on Computer Vision (ICCV)
作者: Jiaxin Gu Junhe Zhao Xiaolong Jiang Baochang Zhang Jianzhuang Liu Guodong Guo Rongrong Ji Beihang University Beijing China Institute of Deep Learning Baidu Research Beijing China National Engineering Laboratory for Deep Learning Technology and Application Huawei Noah’s Ark Lab China School of Information Science and Engineering Xiamen University Fujian China Peng Cheng Lab Shenzhen China
deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models. However, it is still a great challenge to achieve powerful DCNNs in r... 详细信息
来源: 评论
Bayesian optimized 1-Bit CNNs
arXiv
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arXiv 2019年
作者: Gu, Jiaxin Zhao, Junhe Jiang, Xiaolong Zhang, Baochang Liu, Jianzhuang Guo, Guodong Ji, Rongrong Beihang University Beijing China Institute of Deep Learning Baidu Research Beijing China National Engineering Laboratory for Deep Learning Technology and Application Huawei Noah's Ark Lab China School of Information Science and Engineering Xiamen University Fujian China Peng Cheng Lab Shenzhen China
deep convolutional neural networks (DCNNs) have dominated the recent developments in computer vision through making various record-breaking models. However, it is still a great challenge to achieve powerful DCNNs in r... 详细信息
来源: 评论
Kham dialect speech synthesis based on deep learning
Kham dialect speech synthesis based on deep learning
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2019 International Joint Conference on Information, Media, and engineering, IJCIME 2019
作者: Zhang, Weizhao Yang, Hongwu Bu, Xiaolong College of Physics and Electronic Engineering Engineering Research Center of Gansu Province for Intelligent Information Technology and Application Northwest Normal University Lanzhou China School of Educational Technology National and Provincial Joint Engineering Laboratory of Learning Analysis Technology in Online Education College of Physics and Electronic Engineering Northwest Normal University Lanzhou China
In this paper, we constructed speech synthesis corpus of Kham dialect. At the same time, we designed SAMP-Kham machine-readable phonetic label of Kham dialect, and proposed a framework of Kham dialect speech synthesis... 详细信息
来源: 评论
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
arXiv
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arXiv 2019年
作者: Hu, Wenqing Zhu, Zhanxing Xiong, Haoyi Huan, Jun Department of Mathematics and Statistics Missouri University of Science and Technology University of Missouri Rolla Peking University Beijing Institute of Big Data Research Beijing China Big Data Lab Baidu Inc. National Engineering Laboratory of Deep Learning Application and Technology
We interpret the variational inference of the Stochastic Gradient Descent (SGD) as minimizing a new potential function named the quasi-potential. We analytically construct the quasi-potential function in the case when... 详细信息
来源: 评论
The speech synthesis of yi language based on DNN
The speech synthesis of yi language based on DNN
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2019 International Joint Conference on Information, Media, and engineering, IJCIME 2019
作者: Bu, Xiaolong Yang, Hongwu Zhang, Weizhao College of Physics and Electronic Engineering Eng. Research Center of Gansu Province for in Telligent Information Technology and Application Northwest Normal University Lanzhou China School of Educational Technology National and Provincial Joint Engineering Laboratory of Learning Analysis Technology in Online Education Northwest Normal University Lanzhou China
This paper is mainly about a speech synthesis system based on deep Neural Network (DNN) model of Yi languages, a kind of minority language in china. The system is composed of relatively complete text analysis of Yi, m... 详细信息
来源: 评论
Detailed human shape estimation from a single image by hierarchical mesh deformation
arXiv
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arXiv 2019年
作者: Zhu, Hao Zuo, Xinxin Wang, Sen Cao, Xun Yang, Ruigang Nanjing University Nanjing China University of Kentucky LexingtonKY United States Northwestern Polytechnical University Xi'an China Baidu Inc. Beijing China National Engineering Laboratory of Deep Learning and Technology and Application China
This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body poses, and viewpoints. Prior methods ty... 详细信息
来源: 评论
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
arXiv
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arXiv 2019年
作者: Zhang, Shifeng Liu, Ajian Wan, Jun Liang, Yanyan Guo, Guogong Escalera, Sergio Escalante, Hugo Jair Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Macau University of Science and Technology Macau China Institute of Deep Learning Baidu Research and National Engineering Laboratory for Deep Learning Technology and Application Universitat de Barcelona Computer Vision Center Barcelona Catalonia Instituto Nacional de Astrofsica Ptica y Electrnica Puebla72840 Mexico
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, ... 详细信息
来源: 评论
Relaxed 2-D principal component analysis by Lpnorm for face recognition
arXiv
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arXiv 2019年
作者: Chen, Xiao Jia, Zhi-Gang Cai, Yunfeng Zhao, Mei-Xiang School of Mathematics and Statistics Jiangsu Key Laboratory of Education Big Data Science and Engineering Jiangsu Normal University Xuzhou221116 China Baidu Research National Engineering Laboratory for Deep Learning Technology and Applications Beijing100193 China
A relaxed two dimensional principal component analysis (R2DPCA) approach is proposed for face recognition. Different to the 2DPCA, 2DPCA-L1 and G2DPCA, the R2DPCA utilizes the label information (if known) of training ... 详细信息
来源: 评论
DeLS-3D: deep localization and segmentation with a 3D semantic map
arXiv
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arXiv 2018年
作者: Wang, Peng Yang, Ruigang Cao, Binbin Xu, Wei Lin, Yuanqing Baidu Research National Engineering Laboratory for Deep Learning Technology and Applications
For applications such as augmented reality, autonomous driving, self-localization/camera pose estimation and scene parsing are crucial technologies. In this paper, we propose a unified framework to tackle these two pr... 详细信息
来源: 评论