2021
Teacher-Student Learning With Multi-Granularity Constraint Towards Compact Facial Feature Representation
ICASSP 2021accepted
In this paper, we propose a novel end-to-end feature compression scheme by leveraging the representation and learning capability of deep neural networks, towards intelligent front-end equipped analysis with promising accuracy and efficiency. In particular, the extracted features are compactly coded…