SIDU: Similarity Difference and Uniqueness Method for Explainable AI

  title={SIDU: Similarity Difference and Uniqueness Method for Explainable AI},
  author={Satya M. Muddamsetty and M. S. Jahromi and T. Moeslund},
  • Satya M. Muddamsetty, M. S. Jahromi, T. Moeslund
  • Published 2020
  • Mathematics, Computer Science
  • ArXiv
  • A new brand of technical artificial intelligence ( Explainable AI ) research has focused on trying to open up the 'black box' and provide some explainability. This paper presents a novel visual explanation method for deep learning networks in the form of a saliency map that can effectively localize entire object regions. In contrast to the current state-of-the art methods, the proposed method shows quite promising visual explanations that can gain greater trust of human expert. Both… CONTINUE READING

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