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## Introduction
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[BACKBONE]
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```latex
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@ARTICLE{6795724,
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author={Y. {LeCun} and B. {Boser} and J. S. {Denker} and D. {Henderson} and R. E. {Howard} and W. {Hubbard} and L. D. {Jackel}},
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## Introduction
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[BACKBONE]
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```latex
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@INPROCEEDINGS{8578572,
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author={M. {Sandler} and A. {Howard} and M. {Zhu} and A. {Zhmoginov} and L. {Chen}},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{he2016deep,
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title={Deep residual learning for image recognition},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{xie2017aggregated,
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title={Aggregated residual transformations for deep neural networks},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{hu2018squeeze,
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title={Squeeze-and-excitation networks},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{hu2018squeeze,
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title={Squeeze-and-excitation networks},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{zhang2018shufflenet,
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title={Shufflenet: An extremely efficient convolutional neural network for mobile devices},
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## Introduction
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[BACKBONE]
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```latex
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@inproceedings{ma2018shufflenet,
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title={Shufflenet v2: Practical guidelines for efficient cnn architecture design},
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## Introduction
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[BACKBONE]
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```latex
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@article{simonyan2014very,
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title={Very deep convolutional networks for large-scale image recognition},
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