Aggregated Residual Transformations for Deep Neural Networks

We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple design results in a homogeneous, multi-branch architecture that has only a few h...

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Bibliographic Details
Published in2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 5987 - 5995
Main Authors Saining Xie, Girshick, Ross, Dollar, Piotr, Zhuowen Tu, Kaiming He
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2017
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