Mutually Guided Dual-Task Network for Scene Text Detection | |
Mengbiao Zhao2,3; Wei Feng2,3; Fei Yin2,3; Xu-Yao Zhang2,3; Cheng-Lin Liu1,2,3 | |
2021-01 | |
会议日期 | 10-15 January 2021 |
会议地点 | Milan, Italy |
英文摘要 | Scene text detection has been studied extensively. Existing methods detect either words or text lines and use either word-level or line-level annotated data for training. In this paper, we propose a dual-task network that can perform word-level and line-level text detection simultaneously and use training data of both levels of annotation to boost the performance. The dual-task network has two detection heads for word-level and line-level text detection, respectively. Then we propose a mutual guidance scheme for the joint training of the two tasks with two modules: line fltering module utilizes the output feature map of the text line detector to flter out the non-text regions for the word detector, and word enhancing module provides prior positions of words for the text line detector depending on the output feature map of the word detector. Experimental results of word-level and linelevel text detection demonstrate the effectiveness of the proposed dual-task network and mutual guidance scheme, and the results of our method are competitive with state-of-the-art methods. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/52225] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
作者单位 | 1.CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing 100190, China 2.School of Arti cial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.National Laboratory of Pattern Recognition (NLPR) Institution of Automation of Chinese Academy of Sciences, Beijing 100190, China |
推荐引用方式 GB/T 7714 | Mengbiao Zhao,Wei Feng,Fei Yin,et al. Mutually Guided Dual-Task Network for Scene Text Detection[C]. 见:. Milan, Italy. 10-15 January 2021. |
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