Two-Stage Multi-Scale Resolution-Adaptive Network for Low-Resolution Face Recognition

Author:

Wang Haihan1,Wang Shangfei1,Fang Lin1

Affiliation:

1. University of Science and Technology of China, Hefei, China

Funder

project from Anhui Science and Technology Agency

National Natural Science Foundation of China

Publisher

ACM

Reference30 articles.

1. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

2. Zhiyi Cheng , Xiatian Zhu , and Shaogang Gong . 2018 a. Low-resolution face recognition . In Asian Conference on Computer Vision. Springer, 605--621 . Zhiyi Cheng, Xiatian Zhu, and Shaogang Gong. 2018a. Low-resolution face recognition. In Asian Conference on Computer Vision. Springer, 605--621.

3. Zhiyi Cheng , Xiatian Zhu , and Shaogang Gong . 2018b. Surveillance Face Recognition Challenge. arXiv preprint arXiv:1804.09691 ( 2018 ). Zhiyi Cheng, Xiatian Zhu, and Shaogang Gong. 2018b. Surveillance Face Recognition Challenge. arXiv preprint arXiv:1804.09691 (2018).

4. ArcFace: Additive Angular Margin Loss for Deep Face Recognition

5. Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition

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