An incremental face recognition system based on deep learning

By Lufan Li, Jun Zhang, Jiawei Fei, Shuohao Li. 2017

20 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Shipeng Yan
2. Zhangyang Wang
3. Xuming He
4. Jiangwei Xie
5. Shuai Huang
6. Xiaoning Qian
7. Bobak J. Mortazavi
8. Zepeng Huo

In Signal Processing

1. Shipeng Yan
2. Zhangyang Wang
3. Xuming He
4. Jiangwei Xie

Citations in the corpus

• DER: Dynamically Expandable Representation for Class Incremental Learning (2021, background): “Such capability is indispensable for many real-world applications such as the intelligent robot [31], face recognition [19] and autonomous driving [25].”
• VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty (2022, background): “It can be applied to many real-world applications, such as robotics (Thrun & Mitchell, 1995), computer vision (Li et al., 2017), autonomous driving (Pierre, 2018), and healthcare monitoring (Ardywibowo et al., 2019; 2018; Ardywibowo, 2017; Jiang et al., 2019).”