Robotics & Machine Learning Daily News2024,Issue(MAY.7) :110-111.

University of Electronic Science and Technology of China Details Findings in Int elligent Systems (Ucdcn: a Nested Architecture Based On Central Difference Convo lution for Face Anti-spoofing)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :110-111.

University of Electronic Science and Technology of China Details Findings in Int elligent Systems (Ucdcn: a Nested Architecture Based On Central Difference Convo lution for Face Anti-spoofing)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting from Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “Th e significance of facial anti-spoofing algorithms in enhancing the security of f acial recognition systems cannot be overstated. Current approaches aim to compen sate for the model’s shortcomings in capturing spatial information by leveraging spatio-temporal information from multiple frames.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities (University of Electronic Science and Techno logy of China).

Key words

Sichuan/People’s Republic of China/Asi a/Intelligent Systems/Machine Learning/Cybersecurity/University of Electroni c Science and Technology of China

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文