Smooth Gradient Saliency

Smooth gradient saliency

The vanilla gradient saliency computes the saliency map using the vanilla gradient $G$ of the score function $f^{k^*}(X)$ with respect to input $X$. However, these gradients are often noisy, highlighting some pixels that seem randomly selected for the human eye. Such unwanted visual noise in the saliency maps can alter human judgment sometimes. For example, if the saliency map is noisy and highlights random background pixels, a data scientist might think the background information is relevant to the prediction, which should not be the case. ...