Results 151 to 160 of about 2,994,964 (187)

Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey

Applied Sciences
Face recognition has achieved tremendous success in both its theory and technology. However, with increasingly realistic attacks, such as print photos, replay videos, and 3D masks, as well as new attack methods like AI-generated faces or videos, face ...
Hui Xing, Siok Yee Tan, Faizan Qamar, Yuqing Jiao   +3 more
semanticscholar   +1 more source

Face spoofing detection using improved SegNet architecture with a blur estimation technique

International Journal of Biometrics (IJBM), 2021
Biometrics has been increasingly used as the well-known technology for the identification and verification of a person. Among the different biometric traits, the face has been extensively used for human identification and is therefore much vulnerable to ...
Sandeep Kumar, Sukhwinder Singh, J. Kumar   +2 more
semanticscholar   +1 more source

Face Spoofing and Presentation Attack Detection

International Workshop on Artificial Intelligence and Cognition, 2022
Despite of not being much secured, face recognition has become the most popular security service medium. The inevitable result was a threat of fraud caused by face spoofing and Presentation Attack detection which is achieved by using images or videos of ...
Anubhab Nandy, S. Singh
semanticscholar   +1 more source

Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Anti-Spoofing (FAS) is essential for securing face recognition systems against presentation attacks. Recent advances in sensor technology and multimodal learning have enabled the development of multimodal FAS systems. However, existing methods often
Xun Lin, Ajian Liu, Zitong Yu, Rizhao Cai, Shuai Wang, Yi Yu, Jun Wan, Zhen Lei, Xiaochun Cao, A. Kot   +9 more
semanticscholar   +1 more source

Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Anti-Spoofing (FAS) is constantly challenged by new attack types and mediums, and thus it is crucial for a FAS model to not only mitigate Catastrophic Forgetting (CF) of previously learned spoofing knowledge on the training data during continual ...
Rizhao Cai, Yawen Cui, Zitong Yu, Xun Lin, Changsheng Chen, A. Kot   +5 more
semanticscholar   +1 more source

MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing

IEEE Transactions on Information Forensics and Security
The generalizable face anti-spoofing (FAS) has attracted much attention recently. Even though many existing methods perform well under intra-domain settings, the model’s performance in the unseen domain is not satisfying.
Tianyi Zheng, Bo Li, Shuang Wu, Ben Wan, Guodong Mu, Shice Liu, Shouhong Ding, Jia Wang   +7 more
semanticscholar   +1 more source

Rethinking Generalizable Face Anti-Spoofing via Hierarchical Prototype-Guided Distribution Refinement in Hyperbolic Space

Computer Vision and Pattern Recognition
Generalizable face anti-spoofing (FAS) approaches have drawn growing attention due to their robustness for diverse presentation attacks in unseen scenarios. Most previous methods always utilize domain generalization (DG) frame-works via directly aligning
Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shouhong Ding, Lizhuang Ma   +4 more
semanticscholar   +1 more source

Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Face recognition systems are designed to be robust against changes in head pose, illumination, and blurring during image capture. If a malicious person presents a face photo of the registered user, they may bypass the authentication process illegally ...
Mika Feng, Koichi Ito, T. Aoki, Tetsushi Ohki, M. Nishigaki   +4 more
semanticscholar   +1 more source

Towards Data-Centric Face Anti-spoofing: Improving Cross-Domain Generalization via Physics-Based Data Synthesis

International Journal of Computer Vision
Face Anti-Spoofing (FAS) research is challenged by the cross-domain problem, where there is a domain gap between the training and testing data. While recent FAS works are mainly model-centric, focusing on developing domain generalization algorithms for ...
Rizhao Cai, Cecelia Soh, Zitong Yu, Haoliang Li, Wenhan Yang, A. Kot   +5 more
semanticscholar   +1 more source

A Graph Neural Network Model for Live Face Anti-Spoofing Detection Camera Systems

IEEE Internet of Things Journal
As the demand for the Internet of Things (IoT) grows, it becomes crucial to possess systems capable of detecting any data leakage used for authentication.
Junfeng Xu, Weiguo Lin, Wenqing Fan, Jia Chen, Keqiu Li, Xiulong Liu, Guangquan Xu, Shengwei Yi, Jie Gan   +8 more
semanticscholar   +1 more source