Face Anti-Spoofing Using Patch and Depth-Based CNNs

时间 2021-01-13

标签 face anti-spoofing 活体检测繁體版

原文原文链接

实现方法局部特征+整体深度图局部特征提取自人脸区域内的随机块深度特征利用了整个人脸，并将人脸描述为三维图像使用了两个CNN patch-based CNN：端到端训练的，并为每个从人脸图像中随机抽取的patch打一个分数，取平均分 depth-based CNN：完全卷积网络（FCN），对人脸图像的深度图进行估计，并提供一个活度评分架构图无论是外观提示还是深度提示都可以独立检测人脸攻击

>>阅读原文<<

1. Patch and Depth-based CNNs in Face Anti-Spoofing
2. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
3. 论文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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5. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
6. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks论文理解
7. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
8. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
9. Fast Face-swap Using Convolutional Neural Networks
10. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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1. Patch and Depth-based CNNs in Face Anti-Spoofing
2. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
3. 论文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
4. 论文笔记1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
5. RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces论文阅读笔记
6. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks论文理解
7. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
8. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
9. Fast Face-swap Using Convolutional Neural Networks
10. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

>>更多相关文章<<