Video analytics using beyond CMOS devices

N. Vijaykrishnan, S. Datta, G. Cauwenberghs, D. Chiarulli, S. Levitan, H. P. Wong
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引用次数: 12

Abstract

The human vision system understands and interprets complex scenes for a variety of visual tasks in real-time while consuming less than 20 Watts of power. The holistic design of artificial vision systems that will approach and eventually exceed the capabilities of human vision systems is a grand challenge. The design of such a system needs advances in multiple disciplines. This paper focuses on advances needed in the computational fabric and provides an overview of a new-genre of architectures inspired by advances in both the understanding of the visual cortex and the emergence of devices with new mechanisms for state computations.
视频分析使用超越CMOS器件
人类视觉系统可以实时理解和解释各种视觉任务的复杂场景,同时消耗不到20瓦的功率。人工视觉系统的整体设计将接近并最终超过人类视觉系统的能力是一个巨大的挑战。这样一个系统的设计需要多学科的进步。本文着重于计算结构所需的进展,并概述了受视觉皮层理解的进展和具有状态计算新机制的设备的出现所启发的一种新类型的架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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