Generative face inpainting hashing for occluded face retrieval-Reference-Cited by-同舟云学术

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Generative face inpainting hashing for occluded face retrieval

Published:2022-12-02 Issue:5 Volume:14 Page:1725-1738
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Yang Yuxiang,Tian Xing,Ng Wing W. Y.^ORCID,Wang Ran,Gao Ying,Kwong Sam

Funder

National Natural Science Foundation of China

Chinese Postdoctoral Science Foundation

Hong Kong RGC General Research Funds

Natural Science Foundation of Guangdong Province of China

Natural Science Foundation of Shenzhen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-022-01723-3.pdf

Reference40 articles.

1. Zeng D, Veldhuis R, Spreeuwers L (2021) A survey of face recognition techniques under occlusion. IET Biometr. 10(6):581–606

2. Lv J-J, Shao X-H, Huang J-S, Zhou X-D, Zhou X (2017) Data augmentation for face recognition. Neurocomputing 230:184–196

3. Trigueros DS, Meng L, Hartnett M (2018) Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss. Image Vis Comput 79:99–108

4. Wan W, Chen J (2017) Occlusion robust face recognition based on mask learning. In: 2017 IEEE international conference on image processing (ICIP). IEEE, pp 3795–3799

5. Song L, Gong D, Li Z, Liu C, Liu W (2019) Occlusion robust face recognition based on mask learning with pairwise differential siamese network. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 773–782

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