【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices 作者 摘要 本文提出一類高效CNN模型MobileFaceNets，參數量小於100w，識別適合手機和嵌入式設備，進行實時準確的人臉驗證。首先簡單分析通用mobile網絡對人人臉驗證的缺陷，並且Mobil
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- 1. MobileFaceNets Efficient CNNs for Accurate Real-Time 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. MobileFaceNets Efficient CNNs for Accurate Real-Time 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