| 徐健,郭湛澎,刘秀平,陈博,闫焕营.基于注意力机制的多方向文本检测[J].光电子激光,2023,34(2):166~173 |
| 基于注意力机制的多方向文本检测 |
| Multi-directional text detection based on attention mechanism |
| 投稿时间：2022-03-09 修订日期：2022-04-29 |
| DOI： |
| 中文关键词: 场景文本检测 注意力机制 文本特征提取网络(TF-ResNet) 文本注意模块 |
| 英文关键词:scene text detection attention mechanism text feature information ResNet50 (TF-ResNet) text attention module (TAM) |
| 基金项目:陕西省科技厅项目(2018GY-173)和西安市科技局项目(GXYD7.5)资助项目 |
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| 中文摘要: |
| 针对多方向排列的文本因其尺度变化大、复杂背景干扰而导致检测效果仍不甚理想的问题,本文提出了一种基于注意力机制的多方向文本检测方法。首先,考虑到自然场景下干扰信息多,构建文本特征提取网络(text feature information ResNet50,TF-ResNet) ,对图像中的文本特征信息进行提取；其次,在特征融合模型中加入文本注意模块(text attention module,TAM) ,抑制无关信息的同时突出显示文本信息,以增强文本特征之间的潜在联系；最后,采用渐进扩展模块,逐步融合扩展前部分得到的多个不同尺度的分割结果,以获得精确检测结果。本文方法在数据集CTW1500、ICDAR2015上进行实验验证和分析,其F值分别达到80.4%和83.0%,比次优方法分别提升了2.0%和2.4%,表明该方法在多方向文本检测上与其他方法相比具备一定的竞争力。 |
| 英文摘要: |
| Aiming at the problem that the detection effect of multi- directional arrangement text is still not ideal due to its large scale change and complex background interference,this paper proposes a multi-directional text detection method based on attention mechanism. Firstly,considering that there is a lot of interference information in natural scenes,a text feature extraction network is constructed to extract the text feature information in the image;Secondly,a text attention module (TAM) is added to the feature fusion model to suppress irrelevant information while highlighting textual information to enhance potential connections between text features;Finally,a progressive expansion module is used to gradually fuse the segmentation results obtained from the pre-expansion part at several different scales to obtain accurate detection results.The method is experimentally validated and analysed on datasets CTW1500 and ICDAR2015,and its F-values reach 80.4% and 83.0% respectively,which are 2.0% and 2.4% better than the next best method, indicating that the method is competitive with other methods in multi-directional text detection. |
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