CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

Deep neural networks are increasingly used on mobile devices, where computational resources are limited. In this paper we develop CondenseNet, a novel network architecture with unprecedented efficiency. It combines dense connectivity with a novel module called learned group convolution. The dense co...

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Bibliographic Details
Published in2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 2752 - 2761
Main Authors Huang, Gao, Liu, Shichen, Maaten, Laurens van der, Weinberger, Kilian Q.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
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