# Gradient Weighted Superpixels for Interpretability in CNNs

16 Aug 2019Thomas HartleyKirill SidorovChristopher WillisDavid Marshall

As Convolutional Neural Networks embed themselves into our everyday lives, the need for them to be interpretable increases. However, there is often a trade-off between methods that are efficient to compute but produce an explanation that is difficult to interpret, and those that are slow to compute but provide a more interpretable result... (read more)

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