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CCF Chinese Conference on Computer Vision

CCCV 2015: Computer Vision pp 249–257Cite as

Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification

Part of the Communications in Computer and Information Science book series (CCIS,volume 546)

Abstract

In this paper, we propose a novel deep learning framework for object classification called negative-supervised cascaded deep learning. There are two hierarchies in our cascaded method: the first one is a convolutional neural network trained on positive-only samples, which is used to select supervisory samples from a negative library. The second one is inherited from the trained first CNN. It is trained on positive and negative samples, which are selected from domain related database by utilizing negative-supervised mechanism. Experiments are applied this idea to traffic sign classification using two classic convolutional neural networks, LeNet-5 and AlexNet as baselines. Classification rates improved by \(0.7\%\) and \(1.1\%\) with LeNet-5 and AlexNet respectively, which demonstrates the efficiency and superiority of our proposed framework.

Keywords

  • Convolutional neural network
  • Deep learning
  • Negative-supervised
  • Object classification
  • Traffic sign classification

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Author information

Authors and Affiliations

  1. University of Chinese Academy of Sciences, Beijing, China

    Kaixuan Xie & Rui Yang

  2. Beijing Key Laboratory of IOT Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

    Kaixuan Xie, Shiming Ge, Rui Yang, Xiang Lu & Limin Sun

Authors
  1. Kaixuan Xie
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  2. Shiming Ge
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  3. Rui Yang
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  4. Xiang Lu
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  5. Limin Sun
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Corresponding author

Correspondence to Shiming Ge .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Honbin Zha

  2. Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

    Xilin Chen

  3. Chinese Academy of Sciences, Beijing, China

    Liang Wang

  4. Xidian University, Shaanxi, China

    Qiguang Miao

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Xie, K., Ge, S., Yang, R., Lu, X., Sun, L. (2015). Negative-Supervised Cascaded Deep Learning for Traffic Sign Classification. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48558-3_25

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  • DOI: https://doi.org/10.1007/978-3-662-48558-3_25

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