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A psychophysics approach for quantitative comparison of interpretable
  computer vision models

A psychophysics approach for quantitative comparison of interpretable computer vision models

24 November 2019
F. Biessmann
D. Refiano
ArXivPDFHTML

Papers citing "A psychophysics approach for quantitative comparison of interpretable computer vision models"

3 / 3 papers shown
Title
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
66
114
0
06 Dec 2021
How Well do Feature Visualizations Support Causal Understanding of CNN
  Activations?
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann
Judy Borowski
Robert Geirhos
Matthias Bethge
Thomas S. A. Wallis
Wieland Brendel
FAtt
47
31
0
23 Jun 2021
Exemplary Natural Images Explain CNN Activations Better than
  State-of-the-Art Feature Visualization
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Judy Borowski
Roland S. Zimmermann
Judith Schepers
Robert Geirhos
Thomas S. A. Wallis
Matthias Bethge
Wieland Brendel
FAtt
39
7
0
23 Oct 2020
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