MaaFace: Multiplicative and Additive Angular Margin Loss for Deep Face Recognition

By Weilun Liu, Jichao Jiao, Yaokai Mo, Jian Jiao, Z. Deng. 2019

50 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. Timo Milbich
2. Björn Ommer
3. Samarth Sinha
4. Prateek Gupta
5. Joseph Paul Cohen
6. Karsten Roth
7. Luc Van Gool
8. Robin Rombach

In Signal Processing

1. Björn Ommer
2. Timo Milbich
3. Karsten Roth
4. Samarth Sinha

Citations in the corpus

• Revisiting Training Strategies and Generalization Performance in Deep Metric Learning (2020, methodology): “Classification-based: As DML is essentially solving a discriminative task, some approaches (Zhai & Wu, 2018; Deng et al., 2018; Liu et al., 2017) can be derived from softmaxlogits li = WTj φ(xi) + bj .”