Knowledge Commons of Institute of Automation,CAS
Transformer-based stroke relation encoding for online handwriting and sketches | |
Liu, Jing-Yu1,2![]() ![]() ![]() ![]() | |
发表期刊 | PATTERN RECOGNITION
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ISSN | 0031-3203 |
2024-04-01 | |
卷号 | 148页码:13 |
摘要 | Stroke classification for online handwriting and sketches, aimed at grouping strokes into different semantic categories, has drawn considerable attention due to its wide applications. This task is challenging since individual strokes look similar and are easily confused with each other. The key is to consider both the individual strokes and the contextual information jointly for making prediction. Previous methods are insufficient in modeling and exploiting complex contextual information of strokes. To overcome this limitation, we propose a Transformer-based model for Online Handwriting and Sketches (T-OHS), with novel relation encoding schemes to take advantage of temporal and spatial information in stroke sequence. Particularly, we introduce a coarse-to-fine hierarchical encoding approach based on the polar coordinate system for precisely modeling spatial relations between strokes. Experiments on three types of handwriting data, including online handwritten documents, diagrams, and sketches, demonstrate that our method is universal and provides state-of-the-art performance. |
关键词 | Online stroke classification Handwritten document analysis Diagram recognition Sketch semantic segmentation Position encoding in transformer |
DOI | 10.1016/j.patcog.2023.110131 |
关键词[WOS] | MODE DETECTION ; CLASSIFICATION ; SEGMENTATION ; DOCUMENTS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Major Project for New Generation AI[2018AAA0100400] ; National Natural Science Foundation of China (NSFC)[62276258] |
项目资助者 | Major Project for New Generation AI ; National Natural Science Foundation of China (NSFC) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:001128645600001 |
出版者 | ELSEVIER SCI LTD |
七大方向——子方向分类 | 文字识别与文档分析 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/54980 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Zhang, Yan-Ming |
作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Liu, Jing-Yu,Zhang, Yan-Ming,Yin, Fei,et al. Transformer-based stroke relation encoding for online handwriting and sketches[J]. PATTERN RECOGNITION,2024,148:13. |
APA | Liu, Jing-Yu,Zhang, Yan-Ming,Yin, Fei,&Liu, Cheng-Lin.(2024).Transformer-based stroke relation encoding for online handwriting and sketches.PATTERN RECOGNITION,148,13. |
MLA | Liu, Jing-Yu,et al."Transformer-based stroke relation encoding for online handwriting and sketches".PATTERN RECOGNITION 148(2024):13. |
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Liu2024PR.pdf(1999KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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