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科研机构

自动化研究所 [18]

西安光学精密机械研究... [4]

兰州理工大学 [2]

国家天文台 [2]

合肥物质科学研究院 [2]

地理科学与资源研究所 [1]

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期刊论文 [30]

会议论文 [3]

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2020 [33]

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浏览/检索结果: 共33条，第1-10条

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发表日期：2020

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	Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545 作者: Shi, Lei; Zhang, Yifan; Cheng, Jian; Lu, Hanqing 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/11/05 Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.
	Multi-scale spatial context-based semantic edge detection 期刊论文 INFORMATION FUSION, 2020, 卷号: 64, 页码: 238-251 作者: Ma, Wei; Gong, Chaofan; Xu, Shibiao; Zhang, Xiaopeng 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/01/07 Semantic edge detection Convolutional neural network Multi-scale feature fusion Location-aware information fusion Gradual fusion
	Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257 作者: Mou, Lichao; Lu, Xiaoqiang; Li, Xuelong; Zhu, Xiao Xiang 收藏 \| 浏览/下载：52/0 \| 提交时间：2020/12/21 Hyperspectral imaging Convolution Task analysis Recurrent neural networks Semisupervised learning Support vector machines Graph convolutional network (GCN) hyperspectral image classification nonlocal graph semisupervised learning
	Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8358-8371 作者: Zhang, Yuanlin; Zheng, Xiangtao; Yuan, Yuan; Lu, Xiaoqiang 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/12/21 Feature extraction Task analysis Convolutional neural networks Remote sensing Visualization Semantics Manuals Attribute learning convolutional neural networks (CNNs) relationship learning remote sensing image (RSI) classification
	FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3589-3600 作者: Li, Fanrong; Li, Gang; Mo, Zitao; He, Xiangyu; Cheng, Jian 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/01/06 Accelerator architecture convolutional neural networks (CNNs) sparsity
	Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文 PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12 作者: Zhang, Yifan; Shi, Lei; Wu, Yi; Cheng, Ke; Cheng, Jian 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/08/31 Gesture recognition Spatiotemporal deformable convolution Spatiotemporal convolutional neural network
	The Kernel Dynamics of Convolutional Neural Networks in ManifoldsInspec keywordsOther keywordsKey words 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1185-1192 作者: Wu, Wei; Jing, Xiaoyuan; Du, Wencai 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/03/23 convolutional neural nets learning (artificial intelligence) kernel-based CNN convolutional neural network kernel dynamics status transfer functions neural manifolds layered structure Convolutional neural networks Kernelbased convolution Learning dynamics Neural manifolds
	Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16 作者: Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng 收藏 \| 浏览/下载：46/0 \| 提交时间：2020/10/26 Feature extraction Cameras Fiber lasers Laser modes Convolutional neural nets Additive manufacturing condition monitoring convolutional neural networks (CNNs) melt-pool-affected zone powder-bed fusion (PBF)
	Remote sensing image scene classification with noisy label distillation 期刊论文 Remote Sensing, 2020, 卷号: 12, 期号: 15 作者: Zhang, Rui; Chen, Zhenghao; Zhang, Sanxing; Song, Fei; Zhang, Gang 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/05/11 scene classification teacher-student noisy labels knowledge distillation remote sensing images
	Squeeze-and-Excitation Networks 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 8, 页码: 2011-2023 作者: Hu, Jie; Shen, Li; Albanie, Samuel; Sun, Gang; Wu, Enhua 收藏 \| 浏览/下载：37/0 \| 提交时间：2020/08/03 Squeeze-and-excitation image representations attention convolutional neural networks

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