Recent advances in efficient computation of deep convolutional neural networks
文献类型：期刊论文
| 作者 | Cheng, Jian1,2 ; Wang, Pei-song1,2; Li, Gang1,2; Hu, Qing-hao1,2; Lu, Han-qing1,2
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| 刊名 | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
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| 出版日期 | 2018 |
| 卷号 | 19期号:1页码:64-77 |
| 关键词 | Deep Neural Networks Acceleration Compression Hardware Accelerator |
| DOI | 10.1631/FITEE.1700789 |
| 文献子类 | Review |
| 英文摘要 | Deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. At the same time, the computational complexity and resource consumption of these networks continue to increase. This poses a significant challenge to the deployment of such networks, especially in real-time applications or on resource-limited devices. Thus, network acceleration has become a hot topic within the deep learning community. As for hardware implementation of deep neural networks, a batch of accelerators based on a field-programmable gate array (FPGA) or an application-specific integrated circuit (ASIC) have been proposed in recent years. In this paper, we provide a comprehensive survey of recent advances in network acceleration, compression, and accelerator design from both algorithm and hardware points of view. Specifically, we provide a thorough analysis of each of the following topics: network pruning, low-rank approximation, network quantization, teacher-student networks, compact network design, and hardware accelerators. Finally, we introduce and discuss a few possible future directions. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000427742400007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20897]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Cheng, Jian |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cheng, Jian,Wang, Pei-song,Li, Gang,et al. Recent advances in efficient computation of deep convolutional neural networks[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2018,19(1):64-77. |
| APA | Cheng, Jian,Wang, Pei-song,Li, Gang,Hu, Qing-hao,&Lu, Han-qing.(2018).Recent advances in efficient computation of deep convolutional neural networks.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,19(1),64-77. |
| MLA | Cheng, Jian,et al."Recent advances in efficient computation of deep convolutional neural networks".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 19.1(2018):64-77. |
入库方式： OAI收割
来源：自动化研究所
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