Chinese Journal of Network and Information Security ›› 2018, Vol. 4 ›› Issue (5): 21-31.doi: 10.11959/j.issn.2096-109x.2018043

• Papers • Previous Articles     Next Articles

Research on synthesis data generation method for logo recognition

Yuchao JIANG,Lixin JI,Chao GAO,Shaomei LI   

  1. National Digital Switching System Engineering &Technological R&D Center,Zhengzhou 450002,China
  • Revised:2018-05-02 Online:2018-05-01 Published:2018-08-04
  • Supported by:
    The National Natural Science Foundation of China(61601513)


Aiming at the problem of training sample sparse in Logo recognition task under the deep learning framework,a Logo data synthesis algorithm based on contexts was proposed.The algorithm comprehensively utilizes various types of context information to guide the synthesis of Logo images,such as the interior of Logo object,the neighborhood of Logo object,the link between Logo object and other objects and the scene where Logo object lives in.The experimental results on the FlickrLogos-32 dataset show that the proposed algorithm can improve the performance of the Logo identification algorithm (mAP increase by 8.5%) without relying on additional manual annotation,verifying the effectiveness of the synthesis algorithm.

Key words: Logo recognition, data synthesis, context, deep learning, data augmentation

CLC Number: 

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