Systematic image perturbations reveal persistent gaps between human and machine vision
An image set that systematically untangles global shape, internal parts, and texture information is created, and human recognition behavior against >200 DNNs spanning diverse architectures, training diets, and training objectives is compared, revealing systematic and persistent differences between human and machine vis...