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Analyzing the effectiveness of image augmentations for face recognition from limited data

2021-05-18 19:33:17
Aleksei Zhuchkov
arXiv_CV
       
Abstract

This work presents an analysis of the efficiency of image augmentations for the face recognition problem from limited data. We considered basic manipulations, generative methods, and their combinations for augmentations. Our results show that augmentations, in general, can considerably improve the quality of face recognition systems and the combination of generative and basic approaches performs better than the other tested techniques.

Abstract (translated)

URL

https://arxiv.org/abs/2105.08796

PDF

https://arxiv.org/pdf/2105.08796.pdf

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