A defect detection model for industrial products based on attention and knowledge distillation

HIGHLIGHTS

  • who: Attention et al. from the Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China have published the research: A Defect Detection Model for Industrial Products Based on Attention and Knowledge Distillation, in the Journal: Computational Intelligence and Neuroscience of 10/Oct/2022
  • what: This study designs two isomorphic industrial detection models to solve these problems: T-model and S-model. In the neck this study designs a dual module to improve feature fusion. This study proposes a novel surface defect detection model for industrial products. In detector, this study . . .

     

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