arXiv (Cornell University)· 2017· Preprint
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 9,901citations
- 2017year
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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Sign in on the web to openField: Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science