Towards Two-Stream Foveation-based Active Vision Learning

arXiv:2403.15977v1 Announce Type: new
Abstract: Deep neural network (DNN) based machine perception frameworks process the entire input in a one-shot manner to provide answers to both "what object is being observed" and "where it is located". In contrast, the "two-stream hypothesis" from neuroscience explains the neural processing in the human visual cortex as an active vision system that utilizes two separate regions of the brain to answer the what and the where questions. In this work, we propose a machine …

abstract arxiv contrast cortex cs.ai cs.cv deep neural network dnn frameworks human hypothesis machine machine perception network neural network neuroscience object perception process processing type vision visual visual cortex