6 citations · 6 across the 3 of their papers we have counts for
3 papers
Quality-Aware Prototype Memory for Face Representation Learning
Evgeny Smirnov, Vasiliy Galyuk, Evgeny Lukyanets
Prototype Memory is a powerful model for face representation learning. It enables training face recognition models on datasets of any size by generating prototypes (classifier weig…
STC speaker recognition systems for the NIST SRE 2021
Anastasia Avdeeva, Aleksei Gusev, Igor Korsunov +9
This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions. These systems consists…
Prototype Memory for Large-scale Face Representation Learning
Evgeny Smirnov, Nikita Garaev, Vasiliy Galyuk +1
Face representation learning using datasets with a massive number of identities requires appropriate training methods. Softmax-based approach, currently the state-of-the-art in fac…