CNN model with recurrent structure in all layers based on visual system architecture

Abstract

In this study, based on the structure of visual information processing, in the brain. We propose a recurrent CNN model that has top-down processing and recursive processing within the same layer. We evaluate the effectiveness of the proposed model in the tasks of image classification, video classification, and video prediction. Our model may contribute to robustness in image classification, but it is not superior to existing models in video classification and video prediction.