标题:MSR: Multi-scale shape regression for scene text detection
作者:Xue, Chuhui ;Lu, Shijian ;Zhang, Wei
作者机构:[Xue, Chuhui ;Lu, Shijian ] School of Computer Science and Engineering, Nanyang Technological University, Singapore;[Zhang, Wei ] School of Control Sc 更多
会议名称:28th International Joint Conference on Artificial Intelligence, IJCAI 2019
会议日期:10 August 2019 through 16 August 2019
来源:IJCAI International Joint Conference on Artificial Intelligence
出版年:2019
卷:2019-August
页码:989-995
摘要:State-of-the-art scene text detection techniques predict quadrilateral boxes that are prone to localization errors while dealing with straight or curved text lines of different orientations and lengths in scenes. This paper presents a novel multi-scale shape regression network (MSR) that is capable of locating text lines of different lengths, shapes and curvatures in scenes. The proposed MSR detects scene texts by predicting dense text boundary points that inherently capture the location and shape of text lines accurately and are also more tolerant to the variation of text line length as compared with the state of the arts using proposals or segmentation. Additionally, the multi-scale network extracts and fuses features at different scales which demonstrates superb tolerance to the text scale variation. Extensive experiments over several public datasets show that the proposed MSR obtains superior detection performance for both curved and straight text lines of different lengths and orientations. © 2019 International Joint Conferences on Artificial Intelligence. All rights reserved.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074905043&partnerID=40&md5=274ed9f95c43731d3a18dad19d490d57
TOP