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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.

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Benchmarking of Cancelable Biometrics for Deep Templates., , , , , , , и . CoRR, (2023)Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition., и . ICASSP, стр. 2585-2589. IEEE, (2021)No-Reference Image Quality Assessment using Transfer Learning., , и . IST, стр. 637-640. IEEE, (2018)Face Reconstruction from Deep Facial Embeddings using a Convolutional Neural Network., , и . ICIP, стр. 1211-1215. IEEE, (2022)SDFR: Synthetic Data for Face Recognition Competition., , , , , , , , , и 18 other автор(ы). CoRR, (2024)FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data., , , , , , , , , и 37 other автор(ы). CoRR, (2023)Approximating Optimal Morphing Attacks using Template Inversion., , и . IJCB, стр. 1-9. IEEE, (2023)SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data., , и . IJCB, стр. 1-10. IEEE, (2023)Indexing Protected Deep Face Templates by Frequent Binary Patterns., , , , и . IJCB, стр. 1-8. IEEE, (2022)Hybrid Protection of Biometric Templates by Combining Homomorphic Encryption and Cancelable Biometrics., , , , , и . IJCB, стр. 1-10. IEEE, (2022)