Fewer-Shots and Lower-Resolutions: Towards Ultrafast Face Recognition in the Wild

Shengwei Zhao
Shengwei Zhao
Xindi Gao
Xindi Gao

Proceedings of the 27th ACM International Conference on Multimedia, pp. 229-237, 2019.

Cited by: 0|Views28
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Abstract:

Is it possible to train an effective face recognition model with fewer shots that works efficiently on low-resolution faces in the wild? To answer this question, this paper proposes a few-shot knowledge distillation approach to learn an ultrafast face recognizer via two steps. In the first step, we initialize a simple yet effective face r...More

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