From holistic low-dimension feature-based segmentation to deep polynomial neural
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …

Abstract Hypersphere Guided Embedding for Masked Face Recognition has been proposed
to address the problem encountered in the Masked Face Recognition task, which arises due …

Heterogeneous face recognition (HFR) aims to match a probe face image to a gallery of
images in a different modality, such as visible to thermal. The complexity of the problem is …

As a widely mentioned topic in face recognition, the margin-based loss function enhances
the discriminability of face recognition models by applying margin between class decision …

Heterogeneous face recognition (HFR) aims to match face images across different imaging
domains such as visible‐to‐infrared and visible‐to‐thermal. Recently, the increasing utility of …

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 face …

With the vigorous development of the new generation of information technology, deep
learning technology based on big data has gradually become one of the mainstream …

Face recognition has been widely used in information security, access control, financial
payment, criminal investigation, and other aspects due to its stability, convenience, ease to …

Heterogeneous face recognition (HFR) aims to match face images across different imaging
domains such as visible-to-infrared and visible-to-thermal. Recently, the increasing utility of …

Biometrické rozpoznávání je jedním ze způsobů identifikace osob, nebo ověření identity
osob. V našem životě se dnes již zcela běžně setkáváme s využíváním biometrického …