VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving

Larry J. Ackel
Larry J. Ackel
Philip Yeres
Philip Yeres
Karol Zieba
Karol Zieba

ICRA, pp. 1-8, 2018.

Cited by: 13|Views104
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Abstract:

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 irrelevant information to the prediction ...More

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