Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. (arXiv:2205.09037v1 [cs.CV])

Deep convolutional neural networks (DCNNs) have revolutionized computer
vision and are often advocated as good models of the human visual system.
However, there are currently many shortcomings of DCNNs, which preclude them as
a model of human vision. There are continuous attempts to use features of the
human visual system to improve the robustness of neural networks to data
perturbations. We provide a detailed analysis of such bio-inspired models and
their properties. To this end, we benchmark the robustness of …

arxiv bio cv image image recognition