A psychophysics approach for quantitative comparison of interpretable computer vision models

24 Nov 2019Felix BiessmannDionysius Irza Refiano

The field of transparent Machine Learning (ML) has contributed many novel methods aiming at better interpretability for computer vision and ML models in general. But how useful the explanations provided by transparent ML methods are for humans remains difficult to assess... (read more)

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