Classifier shared deep network with multi-hierarchy loss for low resolution face recognition
作者：
Highlights：
• We share the classifier of LR and HR network, which can be seen as center-based method, and enforce the losses between HR and LR intermediate layers to narrow the discrimination of HR domain and LR domain.
摘要
•We share the classifier of LR and HR network, which can be seen as center-based method, and enforce the losses between HR and LR intermediate layers to narrow the discrimination of HR domain and LR domain.
论文关键词：Low-resolution face recognition,Classifier shared deep network,Multi-hierarchy loss,Intermediate features
论文评审过程：Received 11 March 2019, Revised 21 December 2019, Accepted 25 December 2019, Available online 26 December 2019, Version of Record 16 January 2020.
论文官网地址：https://doi.org/10.1016/j.image.2019.115766
