An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective
arXiv:1907.01273
Abstract
We review three recent deep learning based methods for action recognition and present a brief comparative analysis of the methods from a neurophyisiological point of view. We posit that there are some analogy between the three presented deep learning based methods and some of the existing hypotheses regarding the functioning of human brain.
Presented as an extended abstract in the Mutual benefits of cognitive and computer vision (MBCCV) workshop, CVPR 2019