  This document summarizes different visual explanations methods such as CAM,
Grad-CAM, Localization using Multiple Instance Learning - Saliency-based
methods, Saliency-driven Class-Impressions, Muting pixels in input image -
Adversarial methods and Activation visualization, Convolution filter
visualization - Feature-based methods. We have also shown the results produced
by different methods and a comparison between CAM, GradCAM, and Guided
Backpropagation.
