Learning meta pattern for face anti-spoofing

R Cai, Z Li, R Wan, H Li, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …

Learning meta pattern for face anti-spoofing

R Cai, Z Li, R Wan, H Li, Y Hu, AC Kot - IEEE Transactions on …, 2022 - dr.ntu.edu.sg
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …

[PDF][PDF] Learning Meta Pattern for Face Anti-Spoofing

R Cai, Z Li, R Wan, H Li, Y Hu… - IEEE TRANSACTIONS ON …, 2022 - researchgate.net
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …

Learning Meta Pattern for Face Anti-Spoofing

R Cai, Z Li, R Wan, H Li, Y Hu, AC Kot - arXiv preprint arXiv:2110.06753, 2021 - arxiv.org
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …

[PDF][PDF] Learning Meta Pattern for Face Anti-Spoofing

R Cai, Z Li, R Wan, H Li, Y Hu, AC Kot - academia.edu
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …

Learning Meta Pattern for Face Anti-Spoofing

R Cai, Z Li, R Wan, H Li, Y Hu… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has
been extensively studied in recent years. Although deep neural networks (DNNs) for the …

Learning Meta Pattern for Face Anti-Spoofing

R Cai, Z Li, R Wan, H Li, Y Hu… - IEEE Transactions on …, 2022 - scholars.cityu.edu.hk
Abstract Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has
been extensively studied in recent years. Although deep neural networks (DNNs) for the …