MobileFaceNets Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices 我們展示了一類非常高效的CNN模型，MobileFaceNets，它使用不到100萬個參數，專門爲移動和嵌入式設備上的高精度實時人臉驗證而定製。本文首先簡單分析了常用的移動人臉驗證網絡的不足之處。我們專門設計的Mobil
相關文章
- 1. 【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
- 2. 論文閱讀筆記：MobileFaceNets: Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
- 3. 快速人臉驗證--MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
- 4. MobileFaceNets
- 5. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 6. Performance Optimization for Mobile Devices
- 7. Reading Note: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 8. 論文筆記：MobileFaceNet
- 9. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices閱讀
- 10. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices的理解
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相關文章
- 1. 【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
- 2. 論文閱讀筆記：MobileFaceNets: Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
- 3. 快速人臉驗證--MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
- 4. MobileFaceNets
- 5. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 6. Performance Optimization for Mobile Devices
- 7. Reading Note: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 8. 論文筆記：MobileFaceNet
- 9. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices閱讀
- 10. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices的理解