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Face.evoLVe: A High-Performance Face Recognition Library. (arXiv:2107.08621v4 [cs.CV] UPDATED)
May 6, 2022, 1:10 a.m. | Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
cs.CV updates on arXiv.org arxiv.org
In this paper, we develop face.evoLVe -- a comprehensive library that
collects and implements a wide range of popular deep learning-based methods for
face recognition. First of all, face.evoLVe is composed of key components that
cover the full process of face analytics, including face alignment, data
processing, various backbones, losses, and alternatives with bags of tricks for
improving performance. Later, face.evoLVe supports multi-GPU training on top of
different deep learning platforms, such as PyTorch and PaddlePaddle, which
facilitates researchers to …
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