2018
VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry J Ackel, Urs Muller +2
ICRA 2018poster
This paper proposes a new method, that we call VisualBackProp, for visualizing which sets of pixels of the input image contribute most to the predictions made by the convolutional neural network (CNN). The method heavily hinges on exploring the intuition that the feature maps contain less and less i…