Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution
文献类型：会议论文
| 作者 | Xu, Wendi1,3 ; Zhang, Ming1,2
|
| 出版日期 | 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 |
| 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.Xinjiang Astronomical Observatories, Chinese Academy of Sciences, Urumqi, 830011, China 2.Key Laboratory for Radio Astronomy, Chinese Academy of Sciences, Nanjing, 210008, 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. |
入库方式： OAI收割
来源：新疆天文台
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