QRMODA and BRMODA are empirical models relating face recognition accuracy to video encoding parameters, validated across 1668 experiments on multiple datasets for both deep learning and statistical recognizers.
State-of-the-art face recognition performance us- ing publicly available software and datasets
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams
QRMODA and BRMODA are empirical models relating face recognition accuracy to video encoding parameters, validated across 1668 experiments on multiple datasets for both deep learning and statistical recognizers.