1. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer;zagoruyko;ArXiv Preprint,2016
2. IARPA Janus Benchmark-B Face Dataset
3. Similarity-Preserving Knowledge Distillation
4. Deepface: Closing the gap to human-level performance in face verification;taigman;CVPR,2014
5. Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments;zheng;Beijing University of Posts and Telecommunications,2018