Papers › Explaining decision of model from its prediction

Explaining decision of model from its prediction

15 Jun 2021arXiv:2106.08366archive 2025-07-28

Dipesh Tamboli

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.

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Dipeshtamboli/Interactive-GradCAM officialmentioned in paperpytorch report

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Multiple Instance LearningPredictionmodel

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Methods

CAMConvolution

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