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Class Activation Mappings are one of the model explainablity tools. CAMs were introduced by MIT researchers in the paper 'Learning Deep Features for Discriminative Localization'. A CAM for a particular category indicates the discriminative image regions used by CNN to identify that category. The goal is to determine what spatial regions or visual features a model is focused on when making predictions. Eigen-CAM is one such tool focusing on what a model learns from the visual data to arrive at its predictions. It was released in 2020 by Muhammad et al.
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IEEE/ICACT20240312 Slide.10
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