Ruc-net: a residual-unet-based convolutional neural network for pixel-level pavement crack segmentation

HIGHLIGHTS

• who: Gui Yu et al. from the Wuhan University of Science and Technology, Wuhan, China have published the research: RUC-Net: A Residual-Unet-Based Convolutional Neural Network for Pixel-Level Pavement Crack Segmentation, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: It introduced two penalty factors to reduce the weight of easy-to-classify samples, which made the model focus more on difficult-to-classify samples in the training process.
• how: Inspired by Unet and scSE this paper proposed a U-shaped encoder-decoder semantic segmentation network . . .
  

   

  

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