Mariella Dimiccoli

Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning

Model explanations such as saliency maps can improve user trust in AI by highlighting important features for a prediction. However, these become distorted and misleading when explaining predictions of images that are subject to systematic error (bias) by perturbations and corruptions. Furthermore, the distortions pers…