White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks

no code implementations • 6 Apr 2021 • Meghna P Ayyar, Jenny Benois-Pineau, Akka Zemmari

Given the task of image classification and a trained CNN, this work aims to provide a comprehensive and detailed overview of a set of methods that can be used to create explanation maps for a particular image, that assign an importance score to each pixel of the image based on its contribution to the decision of the network.

Classification General Classification +1