Asymmetric modality translation for face presentation attack detection
Face presentation attack detection (PAD) is an essentialmeasure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from both academia and industry. Although most of the existing methods can achieve desired performance to some extent, the gener...
Saved in:
Main Authors: | Li, Zhi, Li, Haoliang, Luo, Xin, Hu, Yongjian, Lam, Kwok-Yan, Kot, Alex Chichung |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/168025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
One-class knowledge distillation for face presentation attack detection
by: Li, Zhi, et al.
Published: (2023) -
Learning meta pattern for face anti-spoofing
by: Cai, Rizhao, et al.
Published: (2022) -
Multiple Fault Attack on PRESENT with a Hardware Trojan Implementation in FPGA
by: Breier, Jakub, et al.
Published: (2016) -
Inter-modality face sketch recognition
by: Galoogahi, H.K., et al.
Published: (2013) -
TOWARDS MULTI-MODAL FACE RECOGNITION IN THE WILD
by: CHAO XIONG
Published: (2017)