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bmezaris / TAME

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Code and data for our learning-based eXplainable AI (XAI) method TAME: M. Ntrougkas, N. Gkalelis, V. Mezaris, "TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks", Proc. IEEE Int. Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.

deep-learning neural-network artificial-intelligence image-classification attention class-activation-maps explainable-ai xai explainability trainable-explanation-model average-drop increase-in-confidence
  • Updated Dec 1, 2022
  • Python

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