Troubleshooting ethnic quality bias with curriculum domain adaptation for face image quality assessment
Abstract Face Image Quality Assessment (FIQA) lays the foundation for ensuring the stability
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
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 …
SDD-FIQA: Unsupervised face image quality assessment with similarity distribution distance
Abstract In recent years, Face Image Quality Assessment (FIQA) has become an
indispensable part of the face recognition system to guarantee the stability and reliability of …
indispensable part of the face recognition system to guarantee the stability and reliability of …
Explainability of the implications of supervised and unsupervised face image quality estimations through activation map variation analyses in face recognition models
It is challenging to derive explainability for unsupervised or statistical-based face image
quality assessment (FIQA) methods. In this work, we propose a novel set of explainability …
quality assessment (FIQA) methods. In this work, we propose a novel set of explainability …
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 …
SER-FIQ: Unsupervised estimation of face image quality based on stochastic embedding robustness
Face image quality is an important factor to enable high-performance face recognition
systems. Face quality assessment aims at estimating the suitability of a face image for the …
systems. Face quality assessment aims at estimating the suitability of a face image for the …
Assessing bias in face image quality assessment
Face image quality assessment (FIQA) attempts to improve face recognition (FR)
performance by providing additional information about sample quality. Because FIQA …
performance by providing additional information about sample quality. Because FIQA …
FaceQgen: Semi-supervised deep learning for face image quality assessment
In this paper we develop FaceQgen 1 1 Publicly available in: https://github. com/uam-
biometrics/FaceQgen, a No-Reference Quality Assessment approach for face images based …
biometrics/FaceQgen, a No-Reference Quality Assessment approach for face images based …
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 …
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 …