Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.

Abstract: This systematic review investigates the application of smart glasses as an assistive technology for visually impaired individuals, focusing on real-time emotion recognition powered by deep ...