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

Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...

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

The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta won’t say why or whether it’s coming back. The most recent version of Meta ...