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Found 4 papers, 1 papers with code
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Synthetic data is gaining increasing relevance for training machine learning models.
Quality-Aware Prototype Memory for Face Representation Learning
Quality-Aware Prototype Memory uses different weights for images of different quality in the process of prototype generation.
STC speaker recognition systems for the NIST SRE 2021
This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Prototype Memory for Large-scale Face Representation Learning
These prototypes are enqueued to the memory and used in a role of classifier weights for softmax classification-based training.
