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Two-stage local constrained sparse coding for fine-grained visual categorization

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Acknowledgements

This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61372007, 61571193), Natural Science Foundation of Guangdong Province (Grant No. 2015A030313210), Guangdong Science and Technology Program (Grant No. 2017A010101027), Guangzhou Science and Technology Program (Grant Nos. 201605130119420, 201707010141), and Fundamental Research Funds for the Central Universities (Grant No. 2015ZM138).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China

    Lihua Guo, Chenggang Guo, Lei Li & Qinghua Huang

  2. College of Information Engineering, Shenzhen University, Shenzhen, 518060, China

    Qinghua Huang & Yanshan Li

  3. The Center for OPTicalIMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China

    Xuelong Li

Authors
  1. Lihua Guo
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  2. Chenggang Guo
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  3. Lei Li
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  4. Qinghua Huang
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  5. Yanshan Li
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  6. Xuelong Li
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Corresponding authors

Correspondence to Lihua Guo or Qinghua Huang.

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The authors declare that they have no conflict of interest.

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Guo, L., Guo, C., Li, L. et al. Two-stage local constrained sparse coding for fine-grained visual categorization. Sci. China Inf. Sci. 61, 018104 (2018). https://doi.org/10.1007/s11432-017-9158-x

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