Road crack detection using deep neural network based on attention mechanism and residual structure

HIGHLIGHTS

  • who: PENG JING and collaborators from the School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China have published the Article: Road Crack Detection Using Deep Neural Network Based on Attention Mechanism and Residual Structure, in the Journal: (JOURNAL)
  • what: The authors implement all tests in Python 3.6, Pytorch 1.10.1, and CUDA 11.1 framework and use NVIDIA GeForce RTX2080 GPU for training. As Figure 9 shows the visualisation results of the experiments, rows 1-2 show the detection results of the DeepCrack dataset, that shows that the original neural_network . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?