Automatic pavement defect detection and classification using rgb-thermal images based on hierarchical residualattention network

HIGHLIGHTS

• who: Cheng Chen and collaborators from the Department of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China have published the Article: Automatic Pavement Defect Detection and Classification Using RGB-Thermal Images Based on Hierarchical ResidualAttention Network, in the Journal: Sensors 2022, 5781 of /2022/
• what: It is also compared with state-of-the-art (SOTA) deep learning models indicating the model has fewer parameters shorter training time and higher recognition accuracy compared to existing image classification models. The aim of parameters are automatically saved. An adaptive learning rate algorithm is used to authis study . . .
  

   

  

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