Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail. This paper offers an overview of the Face Recognition Challenge in the Era of Synthetic Data (FRCSyn) organized at WACV 2024. This is the first international challenge aiming to explore the use of synthetic data in face recognition to address existing limitations in the technology. Specifically, the FRCSyn Challenge targets concerns related to data privacy issues, demographic biases, generalization to unseen scenarios, and performance limitations in challenging scenarios, including significant age disparities between enrollment and testing, pose variations, and occlusions. The results achieved in the FRCSyn Challenge, together with the proposed benchmark, contribute significantly to the application of synthetic data to improve face recognition technology.

翻译：尽管人脸识别技术在全球范围内得到了广泛应用，并在当前基准测试中展现出卓越性能，但仍有若干挑战需要更深入地探讨。本文概述了在WACV 2024上组织的"合成数据时代的人脸识别挑战赛"（FRCSyn）。这是首个旨在探索合成数据在人脸识别中应用以解决技术现有局限性的国际挑战赛。具体而言，FRCSyn挑战赛针对数据隐私问题、人口统计学偏差、对未见场景的泛化能力，以及在具有挑战性的场景（包括注册与测试间的显著年龄差异、姿态变化和遮挡）中的性能限制等关切问题。FRCSyn挑战赛所取得的成果，连同提出的基准测试，显著推动了合成数据在改进人脸识别技术方面的应用。