Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061011(2018)

Object Shape Classification Based on Bayesian Optimized Neural Network

Shanxin Zhang, Qiang Fan*; , and Zhiping Zhou
Author Affiliations
  • Engineering Research Center of Internet of Things Technology Applications, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214000, China
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    Figures & Tables(7)
    Algorithmic framework
    Examples of Animal dataset
    80 objects in ETH-80 dataset
    Comparison of proposed method and pSGLD method
    • Table 1. Results of the Animal dataset%

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      Table 1. Results of the Animal dataset%

      MethodAccuracyPrecisionRecallF1
      BCF[6]83.2083.1982.8583.02
      Bioinformaticsapproach[11]83.7083.6783.6083.63
      pSGLD[14]83.9083.9884.0083.83
      Proposed84.6084.6784.6084.63
    • Table 2. Detailed accuracy of each method in Animal Dataset%

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      Table 2. Detailed accuracy of each method in Animal Dataset%

      MethodBirdButterflyCatCowCrocodileDeerDogDolphinDuckElephant
      BCF[6]87.692.273.877.474.890.482.689.087.095.2
      pSGLD[13]87.897.476.387.272.889.784.478.288.095.5
      Proposed88.097.876.087.872.589.786.280.088.395.5
      MethodFishFly-birdHenHorseLeopardMonkeyRabbitRatSpiderTortoise
      BCF[6]79.870.094.295.466.458.485.870.699.293.6
      pSGLD[13]81.868.291.496.067.970.291.164.510090.0
      Proposed81.868.291.595.870.071.992.168.210090.5
    • Table 3. Classification results in ETH-80 dataset%

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      Table 3. Classification results in ETH-80 dataset%

      MethodAccuracyPrecisionRecallF1
      BCF[6]90.2290.0389.9289.97
      Bioinformaticsapproach[11]90.6890.4790.3490.40
      pSGLD[14]91.6691.6291.6991.65
      Proposed92.0592.0892.1092.09
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    Shanxin Zhang, Qiang Fan, Zhiping Zhou. Object Shape Classification Based on Bayesian Optimized Neural Network[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061011

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    Paper Information

    Category: Image Processing

    Received: Nov. 14, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Qiang Fan ( 478581367@qq.com)

    DOI:10.3788/LOP55.061011

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