Grad-CAM: Why did you say that?

22 Nov 2016Ramprasaath R SelvarajuAbhishek DasRamakrishna VedantamMichael CogswellDevi ParikhDhruv Batra

We propose a technique for making Convolutional Neural Network (CNN)-based models more transparent by visualizing input regions that are 'important' for predictions -- or visual explanations. Our approach, called Gradient-weighted Class Activation Mapping (Grad-CAM), uses class-specific gradient information to localize important regions... (read more)

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