Deep Learning for Free-Hand Sketch: A Survey

doi:10.1109/TPAMI.2022.3148853

	Deep Learning for Free-Hand Sketch: A Survey
	Xu, Peng 1; Hospedales, Timothy M.2; Yin, Qiyue3 ; Song, Yi-Zhe 4; Xiang, Tao 4; Wang, Liang3
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
ISSN	0162-8828
	2023
卷号	45 期号:1 页码:285-312
通讯作者	Xu, Peng(peng.xu@eng.ox.ac.uk)
摘要	Free-hand sketches are highly illustrative, and have been widely used by humans to depict objects or stories from ancient times to the present. The recent prevalence of touchscreen devices has made sketch creation a much easier task than ever and consequently made sketch-oriented applications increasingly popular. The progress of deep learning has immensely benefited free-hand sketch research and applications. This paper presents a comprehensive survey of the deep learning techniques oriented at free-hand sketch data, and the applications that they enable. The main contents of this survey include: (i) A discussion of the intrinsic traits and unique challenges of free-hand sketch, to highlight the essential differences between sketch data and other data modalities, e.g., natural photos. (ii) A review of the developments of free-hand sketch research in the deep learning era, by surveying existing datasets, research topics, and the state-of-the-art methods through a detailed taxonomy and experimental evaluation. (iii) Promotion of future work via a discussion of bottlenecks, open problems, and potential research directions for the community.
关键词	Free-hand sketch deep learning survey introductory taxonomy
DOI	10.1109/TPAMI.2022.3148853
关键词[WOS]	IMAGE RETRIEVAL ; VECTORIZATION ; RECOGNITION ; EXTRACTION ; GENERATION ; FEATURES ; MODELS ; ROBUST
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000899419900018
出版者	IEEE COMPUTER SOC
引用统计	被引频次：29[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51103
专题	复杂系统认知与决策实验室
通讯作者	Xu, Peng
作者单位	1.Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England 2.Univ Edinburgh, Sch Informat, Edinburgh EH8 9YL, Scotland 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.Univ Surrey, Ctr Vis Speech & Signal Proc CVSSP, Comp Vis & Machine Learning, Guildford GU2 7XH, England
推荐引用方式 GB/T 7714	Xu, Peng,Hospedales, Timothy M.,Yin, Qiyue,et al. Deep Learning for Free-Hand Sketch: A Survey[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2023,45(1):285-312.
APA	Xu, Peng,Hospedales, Timothy M.,Yin, Qiyue,Song, Yi-Zhe,Xiang, Tao,&Wang, Liang.(2023).Deep Learning for Free-Hand Sketch: A Survey.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,45(1),285-312.
MLA	Xu, Peng,et al."Deep Learning for Free-Hand Sketch: A Survey".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 45.1(2023):285-312.