Manshan Guo

Towards bridging the gap between human and machine vision with representational alignments

Compared to human vision, state-of-the-art deep neural networks (DNNs) remain more susceptible to both distribution shifts and adversarial perturbations. The robustness of human vision is believed to stem from the brain’s hierarchical and recurrent architecture, which integrates bottom-up with top-down visual processin...