Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources

Pengyu Li, Biao Wang, Lei Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

20 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pages	13315-13324
DOIs	https://doi.org/10.1109/CVPR46437.2021.01311
Publication status	Published - Jun 2021

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Publisher	IEEE Computer Society
ISSN (Print)	1063-6919

More information

Pengyu Li, Biao Wang, & Zhang, L. (2021). Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 13315-13324). (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). https://doi.org/10.1109/CVPR46437.2021.01311

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title = "Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources",

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Pengyu Li, Biao Wang & Zhang, L 2021, Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources. in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 13315-13324. https://doi.org/10.1109/CVPR46437.2021.01311

Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources. / Pengyu Li; Biao Wang ; Zhang, Lei.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2021. p. 13315-13324 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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DO - 10.1109/CVPR46437.2021.01311

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T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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BT - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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Pengyu Li, Biao Wang, Zhang L. Virtual Fully-Connected Layer: Training Large-scale Face Recognition Dataset with Limited Computational Resources. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2021. p. 13315-13324. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). doi: 10.1109/CVPR46437.2021.01311