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Deep Learning for Free-Hand Sketch: A Survey | |
Xu, Peng1; Hospedales, Timothy M.2; Yin, Qiyue3![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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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 | |
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. |
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