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Outline This research paper explains and compares the way humans perceive images and try to replicate them through Deep Neural networks (DNN). The basic idea here is to read the thoughts of humans through fMRI and then visualize them to create or pre...

Do ImageNet Classifiers Generalize to ImageNet ? Outline The Idea behind this paper is to check weather the ImageNet Classifiers classifies the image from another test set with same linearity or over the years training on ImageNet data has led to ove...
