A novel face presentation attack detection scheme based on multi-regional convolutional neural networks-Reference-Cited by-同舟云学术

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A novel face presentation attack detection scheme based on multi-regional convolutional neural networks

Published:2020-03 Issue: Volume:131 Page:261-267
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Ma Yukun^ORCID,Wu Lifang,Li Zeyu,liu Fanghao

Funder

Beijing Municipal Education Commission Science and Technology Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference28 articles.

1. Facenet: a unified embedding for face recognition and clustering;Schroff,2015

2. A survey of 2D face recognition techniques;Chihaoui;Computers,2016

3. Evaluating the resilience of face recognition systems against malicious attacks;Omar,2015

4. Learning deep models for face anti-spoofing: binary or auxiliary supervision;Liu,2018

5. Face spoof detection with image distortion analysis;Wen;IEEE Trans. Inf. Forensics Secur.,2015

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2. Face anti-spoofing via jointly modeling local texture and constructed depth;Engineering Applications of Artificial Intelligence;2024-07

3. Reinforcing Network Security: Network Attack Detection Using Random Grove Blend in Weighted MLP Layers;Mathematics;2024-05-31

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