20.500.12556/RUL-173542 Second FRCSyn-onGoing winning solutions and post-challenge analysis to improve face recognition with synthetic data Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including diverse scenarios, quality, and demographic groups, among others. It also offers some advantages over real data, such as the large amount of data that can be generated or the ability to customize it to adapt to specific problem-solving needs. To effectively use such data, face recognition models should also be specifically designed to exploit synthetic data to its fullest potential. In order to promote the proposal of novel Generative AI methods and synthetic data, and investigate the application of synthetic data to better train face recognition systems, we introduce the 2nd FRCSyn-onGoing challenge, based on the 2nd Face Recognition Challenge in the Era of Synthetic Data (FRCSyn), originally launched at CVPR 2024. This is an ongoing challenge that provides researchers with an accessible platform to benchmark (i) the proposal of novel Generative AI methods and synthetic data, and (ii) novel face recognition systems that are specifically proposed to take advantage of synthetic data. We focus on exploring the use of synthetic data both individually and in combination with real data to solve current challenges in face recognition such as demographic bias, domain adaptation, and performance constraints in demanding situations, such as age disparities between training and testing, changes in the pose, or occlusions. Very interesting findings are obtained in this second edition, including a direct comparison with the first one, in which synthetic databases were restricted to DCFace and GANDiffFace. sintetični podatki razpoznavanje obrazov globoko učenje difuzija generativna nasprotniška omrežja sinthetic data face recognition deep learning diffusion generative adversarial networks true false true Angleški jezik Slovenski jezik Članek v reviji 2025-09-18 10:44:27 2025-09-18 10:44:33 2025-09-19 04:39:10 0000-00-00 00:00:00 2025 0 0 19 str. Vol. 120, art. 103099 Avg. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93 1872-6305 10.1016/j.inffus.2025.103099 229483523 1-s2.0-S1566253525001721-main.pdf 1-s2.0-S1566253525001721-main.pdf 1 172251CA2BFF9B4334110E8F3111165B a9b066f1d07b4336d1e3ed5c4ddec899c59606c22292e69389db5f0dadafe14f c144b77d-946b-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=218089 https://www.sciencedirect.com/science/article/pii/S1566253525001721 1 86f3d917-946b-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=218088 Fakulteta za elektrotehniko 0 0 0