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【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
时间 2020-12-30
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【CVPR2018】MobileFaceNets Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices 作者 摘要 本文提出一类高效CNN模型MobileFaceNets,参数量小于100w,识别适合手机和嵌入式设备,进行实时准确的人脸验证。首先简单分析通用mobile网络对人人脸验证的缺陷,并且Mobil
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相关文章
1.
MobileFaceNets Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
2.
论文阅读笔记:MobileFaceNets: Efficient CNNs for Accurate RealTime Face Verification on Mobile Devices
3.
快速人脸验证--MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices
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MobileFaceNets
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Performance Optimization for Mobile Devices
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Reading Note: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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论文笔记:MobileFaceNet
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