4 papers
AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
Žiga Babnik, Fadi Boutros, Naser Damer +2
Face Image Quality Assessment (FIQA) techniques have seen steady improvements over recent years, but their performance still deteriorates if the input face samples are not properly…
Optimization-Based Improvement of Face Image Quality Assessment Techniques
Žiga Babnik, Naser Damer, Vitomir Štruc
Contemporary face recognition (FR) models achieve near-ideal recognition performance in constrained settings, yet do not fully translate the performance to unconstrained (realworld…
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Žiga Babnik, Peter Peer, Vitomir Štruc
Modern face recognition (FR) models excel in constrained scenarios, but often suffer from decreased performance when deployed in unconstrained (real-world) environments due to unce…
Iterative Optimization of Pseudo Ground-Truth Face Image Quality Labels
Žiga Babnik, Vitomir Štruc
While recent face recognition (FR) systems achieve excellent results in many deployment scenarios, their performance in challenging real-world settings is still under question. For…