Automatic pavement crack detection transformer based on convolutional and sequential feature fusion

HIGHLIGHTS

• who: Zhaoyun Sun and colleagues from the School of Information Engineering, Chang`an University, Xi`an, China have published the paper: Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: In this paper, the Swin-Transformer and the residual CNN were combined to build the backbone to extract the pavement crack features, and a lightweight Transformer detector was designed to propose a more efficient pavement crack detection method. To improve the model calculation speed, the Swin-Transformer Tiny model . . .
  

   

  

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