A self-trained teacher and knowledge distillation produce a 1.18M-parameter face image quality model that nearly matches the 86.88M-parameter teacher on ICCV 2025 VQualA FIQA challenge data.
Arniqa: Learning distortion mani- fold for image quality assessment
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Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation
A self-trained teacher and knowledge distillation produce a 1.18M-parameter face image quality model that nearly matches the 86.88M-parameter teacher on ICCV 2025 VQualA FIQA challenge data.