Gait is a biometric trait that can allow user authentication, though it is classified as a “soft”
one due to a certain lack in permanence and to sensibility to specific conditions. The earliest …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Agnostophobia, the fear of the unknown, can be experienced by deep learning engineers
while applying their networks to real-world applications. Unfortunately, network behavior is …

Face recognition technology has advanced significantlyin recent years due largely to the
availability of largeand increasingly complex training datasets for use in deep learning …

Typically, the deployment of face recognition models in the wild needs to identify low-
resolution faces with extremely low computational cost. To address this problem, a feasible …

Knowledge distillation provides an effective way to transfer knowledge via teacher-student
learning, where most existing distillation approaches apply a fixed pre-trained model as …

As science attempts to close the gap between man and machine by building systems
capable of learning, we must embrace the importance of the unknown. The ability to …

Open Set Recognition (OSR) is about dealing with unknown situations that were not learned
by the models during training. In this paper, we provide a survey of existing works about …

Abstract Convolutional Neural Network models have reached extremely high performance
on the Face Recognition task. Mostly used datasets, such as VGGFace2, focus on gender …

Face recognition (FR) is one of the most extensively investigated problems in computer
vision. Significant progress in FR has been made due to the recent introduction of the larger …