An end-to-end steel surface classification approach based on edcgan and mobilenet v2

HIGHLIGHTS

• who: Ge Jin et al. from the School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China have published the Article: An End-to-End Steel Surface Classification Approach Based on EDCGAN and MobileNet V2, in the Journal: Sensors 2023, 1953 of /2023/
• what: It is almost impossible collect enough samples that can be used for training. solve this kind of problem different from traditional data enhancement methods this paper constructed a data enhancement model dependent on GAN using the designed generate abundant samples that can be used for training. The authors design an . . .
  

   

  

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