Unsupervised Face Image Quality Assessment Based on Face Recognition
نویسندگان
چکیده
Face quality evaluation can filter out low face image to save computational resources and improve the system performance, labeling score by manual consume too much manpower. To solve this problem, an unsupervised based on recognition is proposed. We use model calculate features of faces label images score. The compressed knowledge distillation method obtain efficient assessment model. Experimental results show that effectively evaluate performance recognition.
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ژورنال
عنوان ژورنال: Advances in transdisciplinary engineering
سال: 2022
ISSN: ['2352-751X', '2352-7528']
DOI: https://doi.org/10.3233/atde221152