One Model to Rule Them all: A Universal Transformer for Biometric Matching

This study introduces the first single branch network designed to tackle a spectrum of biometric matching scenarios, including unimodal, multimodal, cross-modal, and missing modality situations. Our method adapts the prototypical network loss to concurrently train on audio, visual, and thermal data...

Ausführliche Beschreibung