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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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 9137 - 9145
Main Authors:	Li, Xin, Zhou, Yiming, Pan, Zheng, Feng, Jiashi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2019
Subjects:	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
Online Access:	Get full text
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