Event-Based Vision Processing in Deep Neural Networks

Abstract

Over the past three decades, the field of neuromorphic engineering has produced sensors and processors that show great promise as efficient, brain-inspired systems. In parallel to this development, tremendous advances in Deep Learning ( DL ) have supplied highly accurate algorithms for computer vision. Unfortunately, these algorithms are not directly compatible with neuromorphic hardware. The present work bridges this gap by developing algorithms that leverage the power of Deep Learning while being suited for operation on neuro-inspir Show more