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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Published in | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 2752 - 2761 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
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