Open-set face recognition refers to a scenario in which biometric system...
As researchers strive to narrow the gap between machine intelligence and...
We report the first analysis of the experimental foundations of facial
a...
Open-Set Classification (OSC) intends to adapt closed-set classification...
Automatic face recognition is a research area with high popularity. Many...
Agnostophobia, the fear of the unknown, can be experienced by deep learn...
Facial attributes, emerging soft biometrics, must be automatically and
r...
Face detection and recognition benchmarks have shifted toward more diffi...
Deep neural networks (DNNs) provide state-of-the-art results on various ...
Much research has been conducted on both face identification and face
ve...
Machine learning models, including state-of-the-art deep neural networks...
Deep neural networks provide state-of-the-art performance on various tas...
Facial attributes are soft-biometrics that allow limiting the search spa...
Machine learning models are vulnerable to adversarial examples formed by...
Attribute recognition, particularly facial, extracts many labels for eac...
As our professional, social, and financial existences become increasingl...