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In computer vision, fooling images refers to images that humans see as noise or abstract patterns but that networks classify as familiar objects with very high confidence. This meaning comes from Nguyen (2015) in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[1]
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