The DOI matches its Crossref record; 365 of the 365 references it cites were found in a registry or an index.
A survey on deep learning based face recognition
Abstract
Abstract Deep learning, in particular the deep convolutional neural networks, has received increasing interests in face recognition recently, and a number of deep learning methods have been proposed. This paper summarizes about 330 contributions in this area. It reviews major deep learning concepts pertinent to face image analysis and face recognition, and provides a concise overview of studies on specific face recognition problems, such as handling variations in pose, age, illumination, expression, and heterogeneous face matching. A summary of databases used for deep face recognition is given as well. Finally, some open challenges and directions are discussed for future research.
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Cites
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Cited by
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Deng, J., Guo, J., Xue, N., & Zafeiriou, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00482 · Cited by 7,781
Past, Present, and Future of Face Recognition: A Review
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A bird's-eye view of deep learning in bioimage analysis
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Metadata
- Authors
- Guo, G., & Zhang, N.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 189
- Pages
- 102805
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2971058209
- Cited by
- 485
- References
- 365
- FWCI
- 27.26
- Type
- journal article
- Language
- en
- Open access
- closed
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