Neural Aggregation Network for Video Face Recognition

Understand

This paper presents a Neural Aggregation Network (NAN) for video face recognition.

• The network takes a face video or face image set of a person with a variable number of face images as its input, and produces a compact, fixed-dimension feature representation for recognition.
• The whole network is composed of two modules.
• The feature embedding module is a deep Convolutional Neural Network (CNN) which maps each face image to a feature vector.