Structure guided GANs

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	Structure guided GANs
	Zhao HC(赵怀慈); Liu PF(刘鹏飞); Cao FD(曹飞道)
	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
内容类型	会议论文
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.