Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search

Achieving good speed and accuracy trade-off on a target platform is very important in deploying deep neural networks in real world scenarios. However, most existing automatic architecture search approaches only concentrate on high performance. In this work, we propose an algorithm that can offer bet...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 9137 - 9145
Hlavní autori:	Li, Xin, Zhou, Yiming, Pan, Zheng, Feng, Jiashi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2019
Predmet:	Accuracy Computer architecture Computer vision Decoding Deep Learning Graphics processing units Grouping and Shape Inference algorithms Network architecture Neural architecture search Pattern recognition Real-time systems Segmentation
ISSN:	1063-6919
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