Additive Margin Softmax for Face Verification

• Published in: IEEE signal processing letters Vol. 25; no. 7; pp. 926 - 930
• Main Authors: Wang, Feng, Cheng, Jian, Liu, Weiyang, Liu, Haijun
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2018
• Subjects: Additives; Annealing; Deep learning; Face; face verification; Measurement; metric learning; Task analysis; Training; Visualization

In this letter, we propose a conceptually simple and intuitive learning objective function, i.e., additive margin softmax, for face verification. In general, face verification tasks can be viewed as metric learning problems, even though lots of face verification models are trained in classification...