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Combining Similarity and Adversarial Learning to Generate Visual
  Explanation: Application to Medical Image Classification

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification

14 December 2020
Martin Charachon
C´eline Hudelot
P. Cournède
Camille Ruppli
R. Ardon
    AAMLGANFAttMedIm
ArXiv (abs)PDFHTML

Papers citing "Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification"

3 / 3 papers shown
Title
Counterfactual Image Generation for adversarially robust and
  interpretable Classifiers
Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Rafael Bischof
Florian Scheidegger
Michael A. Kraus
A. Malossi
AAML
57
2
0
01 Oct 2023
Leveraging Conditional Generative Models in a General Explanation
  Framework of Classifier Decisions
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Martin Charachon
P. Cournède
C´eline Hudelot
R. Ardon
31
5
0
21 Jun 2021
White Box Methods for Explanations of Convolutional Neural Networks in
  Image Classification Tasks
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks
Meghna P. Ayyar
J. Benois-Pineau
A. Zemmari
FAtt
34
17
0
06 Apr 2021
1