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Explaining decision of model from its prediction

arXiv 2106.08366 ↗First posted 15 Jun 2021cs.CVcited by 0

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Abstract (arXiv)

This document summarizes different visual explanations methods such as CAM, Grad-CAM, Localization using Multiple Instance Learning - Saliency-based methods, Saliency-driven Class-Impressions, Muting pixels in input image - Adversarial methods and Activation visualization, Convolution filter visualization - Feature-based methods. We have also shown the results produced by different methods and a comparison between CAM, GradCAM, and Guided Backpropagation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 7 references that are in the map. First posted on arXiv 15 Jun 2021.

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References · 4

  1. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,733
  2. 2015Understanding Neural Networks Through Deep Visualizationcited by 334
  3. 2020Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learningcited by 6
  4. 2020Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networkscited by 1

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