Bias in image data can make a model focus on information irrelevant to predictions, affecting model's generalization ability. This post discusses the problem and explains how Grad-CAM algorithm can help diagnose bias.

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I provide a brief review of a paper by Dutta and Chaudhuri, and compare methods introduced in the paper to the state-of-the-art tools in Computer Vision.

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