基于半监督学习的人脸识别反欺骗方法研究
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李莉, 曾伟良, 黄永慧, 孙为军
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Research on anti-spoofing method of face recognition based on semi-supervised learning
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Li LI, Weiliang ZENG, Yonghui HUANG, Weijun SUN
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表4 RMFD上半监督学习对不同数量的带标签图像的分类准确率
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| 方法 | 100张 | 200张 | 300张 | | LS(RBF) | 49.34% | 49.34% | 49.34% | | LS(KNN) | 50.27% | 51.80% | 53.30% | | LP(RBF) | 40.47% | 40.47% | 40.47% | | LP(KNN) | 50.00% | 51.40% | 51.60% | | K-means+SVM | 60.52% | 61.08% | 62.78% | | Improved-GAN | 67.14% | 69.75% | 73.19% | | SHOT-VAE | 65.05% | 67.10% | 69.96% | | 本文方法 | 62.27% | 74.55% | 83.05% |
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