AI models cannot match the visual processing ability of humans, no matter how smart they are
Human object perception is characterized by its sensitivity to the holistic configuration of the local shape features of an object. At present, deep convolutional neural networks (DCNNs) are the dominant models for the recognition of objects in the visual cortex.
However, do they capture this configural sensitivity? For answering this
