Structure guided GANs
文献类型：会议论文
| 作者 | Zhao HC(赵怀慈) ; Liu PF(刘鹏飞); Cao FD(曹飞道)
|
| 出版日期 | 2017 |
| 会议名称 | LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017 |
| 会议日期 | July 23-25, 2017 |
| 会议地点 | Changchun, China |
| 关键词 | GANs structure ambiguous structure similar |
| 页码 | 1-4 |
| 通讯作者 | Zhao HC(赵怀慈) |
| 中文摘要 | Generative adversarial networks (GANs) has achieved success in many fields. However, there are some samples generated by many GAN-based works, whose structure is ambiguous. In this work, we propose Structure Guided GANs that introduce structural similar into GANs to overcome the problem. In order to achieve our goal, we introduce an encoder and a decoder into a generator to design a new generator and take real samples as part of the input of a generator. And we modify the loss function of the generator accordingly. By comparison with WGAN, experimental results show that our proposed method overcomes largely sample structure ambiguous and can generate higher quality samples. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Chinese Society for Optical Engineering (CSOE) |
| 会议录 | Proceedings SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017
 |
| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, USA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| WOS记录号 | WOS:000426279000097 |
| 源URL | [http://ir.sia.cn/handle/173321/21305]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.The Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang 110016,P. R. China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016,P.R. China 3.Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang, Liaoning 110016, P. R. China 4.University of Chinese Academy of Sciences, Beijing 100049, P. R. China |
| 推荐引用方式 GB/T 7714 | Zhao HC,Liu PF,Cao FD. Structure guided GANs[C]. 见:LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017. Changchun, China. July 23-25, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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