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Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
[article]
2018
arXiv
pre-print
Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks (CNN). However, CNNs have massive compute demands that far exceed the performance and energy constraints of mobile devices. In this paper, we propose and develop an algorithm-architecture co-designed system, Euphrates, that simultaneously improves the energy-efficiency and performance of continuous vision tasks. Our key observation is that changes in pixel data between consecutive frames represents visual
arXiv:1803.11232v1
fatcat:kil3eeq3vfa3tgimbc4h4zi5di