If you're participating or using data from Challenge 2 please cite:
Aaron Nech and Ira Kemelmacher-Shlizerman,"Level Playing Field for Million Scale Face Recognition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
@inproceedings{nech2017level,
title={Level Playing Field For Million Scale Face Recognition},
author={Nech, Aaron and Kemelmacher-Shlizerman, Ira},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2017}
}
If you're using or participating in Challenge 1 please cite:
"
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", Ira Kemelmacher-Shlizerman, Steve Seitz, Daniel Miller, Evan Brossard, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
@inproceedings{kemelmacher2016megaface,
title={The megaface benchmark: 1 million faces for recognition at scale},
author={Kemelmacher-Shlizerman, Ira and Seitz, Steven M and Miller, Daniel and Brossard, Evan},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={4873--4882},
year={2016}
}
Participating Methods
- [1] FaceNet: A Unified Embedding for Face Recognition and Clustering, Florian Schroff, Dmitry Kalenichenko, James Philbin, CVPR 2015
- [2] Beijing Faceall Co.
- [3] NTechLAB
- [4] 3DiVi Company
- [5] SIAT MMLAB
- [6] Vocord
- [7] Deepsense
- [8] Shanghai Tech
- [9] Barebones_FR
- [10] Joint Bayes implementation
- [11] LBP features comparison (no training)
Citations
- [1] Learned-Miller, Erik, et al. "Labeled faces in the wild: A survey." Advances in Face Detection and Facial Image Analysis. Springer International Publishing, 2016. 189-248.
- [2] Ghazi, Mostafa Mehdipour, and Hazim Kemal Ekenel. "A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition." arXiv preprint arXiv:1606.02894 (2016).
- [3] Hu, Guosheng, et al. "Frankenstein: Learning Deep Face Representations using Small Data." arXiv preprint arXiv:1603.06470 (2016).
- [4] Zhu, Shizhan, et al. "Unconstrained Face Alignment via Cascaded Compositional Learning."
- [5] Guo, Yandong, et al. "MS-Celeb-1M: Challenge of Recognizing One Million Celebri-ties in the Real World."
- [6] Zhong, Yang, Josephine Sullivan, and Haibo Li. "Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks." arXiv preprint arXiv:1602.03935 (2016).