A psychophysics approach for quantitative comparison of interpretable computer vision models

Felix Biessmann, Dionysius 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…