Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas A. Langlois 1,a,b, H. Charles Zhao 1,a, Erin Grant

Many previous analyses of the correspondence between ANNs and human vision have focused on the representations used by the systems. However, a natural question is whether ANNs select information in the same way, and in particular whether they attend to the same visual regions as humans when extracting information for visual object recognition and localization.