AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation

arXiv:2404.09555v1 Announce Type: new
Abstract: 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 aligned. This alignment sensitivity comes from the fact that most FIQA techniques are trained or designed using a specific face alignment procedure. If the alignment technique changes, the performance of most existing FIQA techniques quickly becomes suboptimal. To address this problem, we present in this paper a novel knowledge …

alignment arxiv assessment cs.cv distillation face image knowledge quality type