A Comprehensive Study on Center Loss for Deep Face Recognition

By Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao. 2019

96 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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. Weiyang Liu
2. Zhen Liu
3. Adrian Weller
4. Bhiksha Raj
5. Rita Singh
6. Lanqing Hong
7. L. Yu
8. Tianyang Hu

Citations in the corpus

• Continual Learning by Modeling Intra-Class Variation (2022, methodology): “Moreover, we empirically observe from Liu et al. (2016; 2018b); Wen et al. (2019) that the intra-class representations, when projected onto a unit hypersphere, are centered around the class mean and distributed like a vMF distribution.”
• SphereFace Revived: Unifying Hyperspherical Face Recognition (2021, methodology): “Inspired by linear discriminant analysis, [14], [15] propose center loss for CNNs and obtain promising performance.”