Abstract: This paper introduces FaceLiVT, a lightweight yet powerful face recognition model that integrates a hybrid Convolution Neural Network (CNN)-Transformer architecture with an innovative and ...
Morphing attack detection (MAD) was a major theme of the European Association for Biometrics’ (EAB’s) workshop on live enrollment last year, and as AI makes sophisticated biometric spoof attacks more ...
Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...
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