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arXiv (Cornell University)· 2017· Preprint

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Andrew Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko et al.

Short summary

MobileNets are a new class of efficient neural networks using depth-wise separable convolutions, enabling a trade-off between latency and accuracy via simple hyper-parameters for mobile vision tasks.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science