SubFace: learning with softmax approximation for face recognition
Author:
Funder
National Natural Science Foundation of China
Startup Fund for Young Faculty at SJTU
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19037-7.pdf
Reference46 articles.
1. An X, Zhu X, Gao Y et al (2021) Partial fc: Training 10 million identities on a single machine. In: IEEE International conference on computer vision, pp 1445–1449
2. Chen S, Liu Y, Gao X et al (2018) Mobilefacenets: Efficient cnns for accurate real-time face verification on mobile devices. In: Chinese conference on biometric recognition, Springer, pp 428–438
3. Chopra S, Hadsell R, LeCun Y (2005) Learning a similarity metric discriminatively, with application to face verification. In: IEEE Conference on computer vision and pattern recognition, IEEE, pp 539–546
4. Deng J, Zhou Y, Zafeiriou S (2017) Marginal loss for deep face recognition. In: IEEE Conference on computer vision and pattern recognition workshops, pp 60–68
5. Deng J, Guo J, Xue N et al (2019) Arcface: Additive angular margin loss for deep face recognition. In: IEEE Conference on computer vision and pattern recognition, pp 4690–4699
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