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A Progressive Learning Framework for Unconstrained Face Recognition
AbstractThe carefully designed backbone network, the increase of training data and the improved training skills have boosted the performance of modern face recognition systems. However, in some deployment cases which aim at model compactness and energy efficiency, some of the existing systems may fail due to the high complexity. Lightweight Face Recognition Challenge is proposed in order to make some progress in this direction and establishes a new comprehensive benchmark. In this challenge, we have designed a light weight backbone architecture and all the parameters are trained in a progressive way. Finally we achieve the 5th in track 1 and the 4th in track 3.
Related Material
[pdf][bibtex]@InProceedings{Chai_2019_ICCV,
author = {Chai, Zhenhua and Li, Shengxi and Meng, Huanhuan and Lai, Shenqi and Wei, Xiaoming and Zhang, Jianwei},
title = {A Progressive Learning Framework for Unconstrained Face Recognition},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
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