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    Listar por tema "generative adversarial network"

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      • A Diverse Domain Generative Adversarial Network for Style Transfer on Face Photographs 

        Tahir, Rabia; Cheng, Keyang; Memon, Bilal Ahmed; Liu, Qing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
        The applications of style transfer on real time photographs are very trending now. This is used in various applications especially in social networking sites such as SnapChat and beauty cameras. A number of style transfer ...
      • Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

        Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
        Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
      • Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets 

        Bobadilla, Jesús; Gutiérrez, Abraham (International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)
        The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative ...
      • Towards a Robust Thermal-Visible Heterogeneous Face Recognition Approach Based on a Cycle Generative Adversarial Network 

        Kamel Benamara, Nadir; Zigh, Ehlem; Boudghene Stambouli, Tarik; Keche, Mokhtar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
        Security is a sensitive area that concerns all authorities around the world due to the emerging terrorism phenomenon. Contactless biometric technologies such as face recognition have grown in interest for their capacity ...

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