Demonstrates that huamns use scene information to guide search towards likely target sizes, resulting in higher miss rates for mis-scaled targets, which does not occur for object detection DNNs.
Adversarial examples trained on an ensemble of CNNs with a retinal preprocessing layer reduce the accuracy of time-limited humans in a two alternative forced choice task.