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 ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...