Joint face alignment and segmentation via deep multi-task learning

doi:10.1007/s11042-018-5609-1

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Joint face alignment and segmentation via deep multi-task learning
	Zhao, Yucheng1,2 ; Tang, Fan1,2 ; Dong, Weiming1 ; Huang, Feiyue 3; Zhang, Xiaopeng1
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2019-05-01
卷号	78 期号:10 页码:13131-13148
关键词	Face alignment Face segmentation Multi-task learning Virtual makeup Face swap
ISSN号	1380-7501
DOI	10.1007/s11042-018-5609-1
通讯作者	Dong, Weiming(weiming.dong@ia.ac.cn)
英文摘要	Face alignment and segmentation are challenging problems which have been extensively studied in the field of multimedia. These two tasks are closely related and their learning processes are supposed to benefit each other. Hence, we present a joint multi-task learning algorithm for both face alignment and segmentation using deep convolutional neural network (CNN). The proposed multi-task learning approach allows CNN model to simultaneously share visual knowledge between different tasks. With a carefully designed refinement residual module, the cross-layer features are fused in a collaborative manner. To the best of our knowledge, this is the first time that face alignment and segmentation are learned together via deep multi-task learning. Our experiments show that learning these two related tasks simultaneously builds a synergy between them, improves the performance of each individual task, and rivals recent approaches. Furthermore, we demonstrate the effectiveness of our model in two practical applications: virtual makeup and face swap.
资助项目	National Natural Science Foundation of China[61672520] ; National Natural Science Foundation of China[61702488] ; National Natural Science Foundation of China[61501464] ; National Natural Science Foundation of China[6120106003] ; Beijing Natural Science Foundation[4162056] ; National Key Technology R&D Program of China[2015BAH53F02] ; CASIA-Tencent YouTu jointly research project
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000471654900022
资助机构	National Natural Science Foundation of China ; Beijing Natural Science Foundation ; National Key Technology R&D Program of China ; CASIA-Tencent YouTu jointly research project
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/20889]
专题	自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者	Dong, Weiming
作者单位	1.Chinese Acad Sci, Inst Automat, NLPR LIAMA, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Tencent, YouTu Lab, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yucheng,Tang, Fan,Dong, Weiming,et al. Joint face alignment and segmentation via deep multi-task learning[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(10):13131-13148.
APA	Zhao, Yucheng,Tang, Fan,Dong, Weiming,Huang, Feiyue,&Zhang, Xiaopeng.(2019).Joint face alignment and segmentation via deep multi-task learning.MULTIMEDIA TOOLS AND APPLICATIONS,78(10),13131-13148.
MLA	Zhao, Yucheng,et al."Joint face alignment and segmentation via deep multi-task learning".MULTIMEDIA TOOLS AND APPLICATIONS 78.10(2019):13131-13148.