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cs.CV2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization
Mirtha Lucas, Miguel Lerma, Jacob Furst +1
Neural networks are becoming increasingly better at tasks that involve classifying and recognizing images. At the same time techniques intended to explain the network output have b…
cs.CV2022★ 1 cited
Grad-CAM++ is Equivalent to Grad-CAM With Positive Gradients
Miguel Lerma, Mirtha Lucas
The Grad-CAM algorithm provides a way to identify what parts of an image contribute most to the output of a classifier deep network. The algorithm is simple and widely used for loc…
cs.CV2022
Baseline Computation for Attribution Methods Based on Interpolated Inputs
Miguel Lerma, Mirtha Lucas
We discuss a way to find a well behaved baseline for attribution methods that work by feeding a neural network with a sequence of interpolated inputs between two given inputs. Then…