CR-FIQA: face image quality assessment by learning sample relative classifiability
Face image quality assessment (FIQA) estimates the utility of the captured image in
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
CLIB-FIQA: face image quality assessment with confidence calibration
Abstract Face Image Quality Assessment (FIQA) is pivotal for guaranteeing the accuracy of
face recognition in unconstrained environments. Recent progress in deep quality-fitting …
face recognition in unconstrained environments. Recent progress in deep quality-fitting …
Qmagface: Simple and accurate quality-aware face recognition
In this work, we propose QMagFace, a simple and effective face recognition solution
(QMagFace) that combines a quality-aware comparison score with a recognition model …
(QMagFace) that combines a quality-aware comparison score with a recognition model …
Efar 2023: Efficient face recognition competition
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
Explainable model-agnostic similarity and confidence in face verification
Recently, face recognition systems have demonstrated remarkable performances and thus
gained a vital role in our daily life. They already surpass human face verification …
gained a vital role in our daily life. They already surpass human face verification …
Subjective and objective quality assessment of multi-attribute retouched face images
Facial retouching, aiming at enhancing an individual's appearance digitally, has become
popular in many parts of human life, such as personal entertainment, commercial …
popular in many parts of human life, such as personal entertainment, commercial …
Grafiqs: Face image quality assessment using gradient magnitudes
Abstract Face Image Quality Assessment (FIQA) estimates the utility of face images for
automated face recognition (FR) systems. We propose in this work a novel approach to …
automated face recognition (FR) systems. We propose in this work a novel approach to …
FaceQAN: Face image quality assessment through adversarial noise exploration
Recent state-of-the-art face recognition (FR) approaches have achieved impressive
performance, yet unconstrained face recognition still represents an open problem. Face …
performance, yet unconstrained face recognition still represents an open problem. Face …
DifFIQA: Face image quality assessment using denoising diffusion probabilistic models
Modern face recognition (FR) models excel in constrained scenarios, but often suffer from
decreased performance when deployed in unconstrained (real-world) environments due to …
decreased performance when deployed in unconstrained (real-world) environments due to …
On the effect of atmospheric turbulence in the feature space of deep face recognition
When captured over long distances, image quality is degraded by inconsistent refractive
indexes in the atmosphere. This effect, known as Atmospheric Turbulence (AT), leads to …
indexes in the atmosphere. This effect, known as Atmospheric Turbulence (AT), leads to …