2016
Learning a Metric Embedding for Face Recognition using the Multibatch Method
NeurIPS 2016poster
This work is motivated by the engineering task of achieving a near state-of-the-art face recognition on a minimal computing budget running on an embedded system. Our main technical contribution centers around a novel training method, called Multibatch, for similarity learning, i.e., for the task of…