Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data

Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti

CVPRW 2024 pp. 3173-3183

doi:10.1109/CVPRW63382.2024.00323 /cvprw/2024/deandrestame2024cvprw-second/

Abstract

Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class variability, time and errors produced in manual labeling, and in some cases privacy concerns, among others. This paper presents an overview of the 2nd edition of the Face Recognition Challenge in the Era of Synthetic Data (FRCSyn) organized at CVPR 2024. FRCSyn aims to investigate the use of synthetic data in face recognition to address current technological limitations, including data privacy concerns, demographic biases, generalization to novel scenarios, and performance constraints in challenging situations such as aging, pose variations, and occlusions. Unlike the 1st edition, in which synthetic data from DCFace and GANDiffFace methods was only allowed to train face recognition systems, in this 2nd edition we propose new sub-tasks that allow participants to explore novel face generative methods. The outcomes of the 2nd FRCSyn Challenge, along with the proposed experimental protocol and benchmarking contribute significantly to the application of synthetic data to face recognition.

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Cite

Text

DeAndres-Tame et al. "Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024. doi:10.1109/CVPRW63382.2024.00323

Markdown

[DeAndres-Tame et al. "Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.](https://mlanthology.org/cvprw/2024/deandrestame2024cvprw-second/) doi:10.1109/CVPRW63382.2024.00323

BibTeX

@inproceedings{deandrestame2024cvprw-second,
  title     = {{Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data}},
  author    = {DeAndres-Tame, Ivan and Tolosana, Ruben and Melzi, Pietro and Vera-Rodríguez, Rubén and Kim, Minchul and Rathgeb, Christian and Liu, Xiaoming and Morales, Aythami and Fiérrez, Julian and Ortega-Garcia, Javier and Zhong, Zhizhou and Huang, Yuge and Mi, Yuxi and Ding, Shouhong and Zhou, Shuigeng and He, Shuai and Fu, Lingzhi and Cong, Heng and Zhang, Rongyu and Xiao, Zhihong and Smirnov, Evgeny and Pimenov, Anton and Grigorev, Aleksei and Timoshenko, Denis and Asfaw, Kaleb Mesfin and Low, Cheng-Yaw and Liu, Hao and Wang, Chuyi and Zuo, Qing and He, Zhixiang and Otroshi-Shahreza, Hatef and George, Anjith and Unnervik, Alexander and Rahimi, Parsa and Marcel, Sébastien and Neto, Pedro C. and Huber, Marco and Kolf, Jan Niklas and Damer, Naser and Boutros, Fadi and Cardoso, Jaime S. and Sequeira, Ana Filipa and Atzori, Andrea and Fenu, Gianni and Marras, Mirko and Struc, Vitomir and Yu, Jiang and Li, Zhangjie and Li, Jichun and Zhao, Weisong and Lei, Zhen and Zhu, Xiangyu and Zhang, Xiaoyu and Biesseck, Bernardo and Vidal, Pedro and Coelho, Luiz and Granada, Roger and Menotti, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2024},
  pages     = {3173-3183},
  doi       = {10.1109/CVPRW63382.2024.00323},
  url       = {https://mlanthology.org/cvprw/2024/deandrestame2024cvprw-second/}
}