Yubin Yang

A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation

Interpretability has been regarded as an essential component for deploying deep neural networks, in which the saliency-based method is one of the most prevailing interpretable approaches since it can generate individually intuitive heatmaps that highlight parts of the input image that are most impor…