Context-based Synthetic Data for Logo Recognition

摘要：

　　In order to solve the problem of sparse training samples in logo recognition task,a multi-type context-based logo data synthesis algorithm is proposed.The algorithm comprehensively utilizes the local and full context of the logo object and the scene image to guide the synthesis of the logo image.The experimental results on the FlickrLogos-32 show that the proposed algorithm can greatly improve the performance of the logo recognition algorithm without relying on additional manual annotation,verify the validity of the synthesis algorithm,and further prove that multi-type context can improve the performance of the object recognition algorithm.

关键词： logo recognition context data synthesis deep learning

作者: Yuchao Jiang Lixin Ji Chao Gao Yancheng Wu

作者单位: National Digital Switching System Engineering & Technological R&D Center,Zhengzhou 450002,China

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Computer Science and Information Engineering (ICCSIE 2018) 2018第三届计算机科学与信息工程国际会议(ICCSIE 2018)

会议地点: 西安

会议语种:英文

页码: 285-293

在线出版日期: 2018-09-21（万方平台首次上网日期，不代表论文的发表时间）