首页|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)
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)
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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).
SichuanPeople’s Republic of ChinaAsi aIntelligent SystemsMachine LearningCybersecurityUniversity of Electroni c Science and Technology of China
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