• Laser & Optoelectronics Progress
  • Vol. 56, Issue 15, 151202 (2019)
Xiaoyun Ma1、2、3、4、5、*, Dan Zhu1、2、3、4、5, Chen Jin1、2、4、5, and Xinxin Tong1、2、4、5
Author Affiliations
  • 1 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 2 Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
  • 3 University of Chinese Academy of Sciences, Beijing 100049, China
  • 4 Key Laboratory of Opto-Electronic Information Processing, CAS, Shenyang, Liaoning 110016, China
  • 5 The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning 110016, China
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    DOI: 10.3788/LOP56.151202 Cite this Article Set citation alerts
    Xiaoyun Ma, Dan Zhu, Chen Jin, Xinxin Tong. Bullet Appearance Defect Detection Based on Improved Faster Region-Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151202 Copy Citation Text show less
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    Xiaoyun Ma, Dan Zhu, Chen Jin, Xinxin Tong. Bullet Appearance Defect Detection Based on Improved Faster Region-Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151202
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