April 22, 2024, 4:42 a.m. | Minzhe Huang, Changwei Nie, Weihong Zhong

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.12602v1 Announce Type: cross
Abstract: In recent years, Face Anti-Spoofing (FAS) has played a crucial role in preserving the security of face recognition technology. With the rise of counterfeit face generation techniques, the challenge posed by digitally edited faces to face anti-spoofing is escalating. Existing FAS technologies primarily focus on intercepting physically forged faces and lack a robust solution for cross-domain FAS challenges. Moreover, determining an appropriate threshold to achieve optimal deployment results remains an issue for intra-domain FAS. To …

arxiv classification cnn cs.cv cs.lg data domain networks optimization tasks type visualization

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Alternance DATA/AI Engineer (H/F)

@ SQLI | Le Grand-Quevilly, France