아크페이스에 지식 증류를 적용한 얼굴인식 = Face Recognition with Knowledge Distillation on Arcface

다국어 초록 (Multilingual Abstract)

This paper studied the model lightening and speed improvement of face recognition. To this end, we propose a method of training with MobileNetV2 through knowledge distillation as a student model and based on ArcFace and ResNet50 as a teacher model. ArcFace is face recognition model using Additive Angular Margin Loss. The main objective was to compare the performance of the student model against that of the teacher model in terms of similarity results. The findings indicated that the student model outperformed the teacher model in terms of similarity results. These results suggest that the MobileNetV2-based student model can achieve comparable face recognition performance to the more complex ResNet50-based teacher model, while being computationally more efficient.

참고문헌 (Reference)

1 "The Aju-News Page"

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