Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution

doi:10.1109/CCIS.2018.8691350

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	Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution
	Xu, Wendi 2,3; Zhang, Ming 1,2
	2019-04-15
会议日期	November 23, 2018 - November 25, 2018
会议地点	Nanjing, China
关键词	Warships Brain Cloud computing Deep learning Image processing Neural networks Optical resolving power
DOI	10.1109/CCIS.2018.8691350
页码	910-914
国家	China
英文摘要	Evolution of deep learning shows that some algorithmic tricks are more durable, while others are not. To the best of our knowledge, we firstly summarize 5 more durable and complete deep learning components for vision, that is, WARSHIP. Moreover, we give a biological overview of WARSHIP, emphasizing brain-inspired computing of WARSHIP. As a step towards WARSHIP, our case study of image super resolution combines 3 components of RSH to deploy a CNN model of WARSHIP-XZNet, which performs a happy medium between speed and performance. 2018 IEEE.
产权排序	1
会议录	5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
URL标识	查看原文
ISBN号	9781538660041
内容类型	会议论文
源URL	[http://ir.xao.ac.cn/handle/45760611-7/3919]
专题	星系宇宙学研究团组
作者单位	1.Key Laboratory for Radio Astronomy, Chinese Academy of Sciences, Nanjing, 210008, China; 2.Xinjiang Astronomical Observatories, Chinese Academy of Sciences, Urumqi, 830011, China 3.University of Chinese Academy of Sciences, Beijing, 100876, China
推荐引用方式 GB/T 7714	Xu, Wendi,Zhang, Ming. Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution[C]. 见:. Nanjing, China. November 23, 2018 - November 25, 2018.