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Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach.

Kaspars SudarsIvars NamatevsKaspars Ozols
Published in: J. Imaging (2022)
Keyphrases
  • traffic signs
  • classification accuracy
  • image classification
  • automatic recognition
  • image processing
  • feature extraction
  • real time
  • data sets
  • decision trees
  • training samples
  • intelligent vehicles