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 ...

Rank One, whose board includes a former CIA deputy director and a former FBI science chief, supplied face recognition to Meta for internal development of its smart glasses app. Meta is testing ...

more than 50 million times. A day later, the company removed it. Meta won't tell us why or whether it's coming back. Let's start at the beginning and explain why this matters.

This week, Meta removed facial recognition code from its Meta AI companion app after reporting by WIRED revealed that the company had already embedded substantial portions of an unreleased facial ...

Only a day after a dormant bit of code that seemed to be a facial recognition algorithm was discovered in a companion app for its smart glasses, Meta released an update which removed that code, Wired ...