How good Neural Networks interpretation methods really are? A quantitative benchmark

Antoine Passemiers, Pietro Folco, Daniele Raimondi +3

Saliency Maps (SMs) have been extensively used to interpret deep learning models decision by highlighting the features deemed relevant by the model. They are used on highly nonline…