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· 2018

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun

Short summary

ShuffleNet, a new CNN architecture, achieves 7.8% lower top-1 error than MobileNet on ImageNet classification with a 40 MFLOPs budget, and ~13x speedup over AlexNet on mobile devices.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science