Jun 5, 2023 · We show, using a problem of synthetic face detection, that improving the model's focus, through lowering entropy by the proposed loss components ...
Oct 22, 2024 · We show, using a problem of synthetic face detection, that improving the model's focus, through lowering entropy by the proposed loss components ...
Model Focus Improves Performance of Deep Learning-Based Synthetic ...
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It is shown, using a problem of synthetic face detection, that improving the model's focus, through lowering entropy by the proposed loss components, ...
Jun 28, 2023 · We show, using a problem of synthetic face detection, that improving the model's focus, through lowering entropy by the proposed loss components ...
Sep 12, 2024 · We show, using a problem of synthetic face detection, that improving the model's focus, through lowering entropy, leads to models that perform ...
Jun 5, 2023 · In this paper, we consider how to incorporate psychophysical measurements of human visual perception into the loss function of a deep neural ...
Jan 5, 2024 · Deep learning has substantially advanced facial recognition technology, offering sophisticated solutions to previously insurmountable challenges.
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Nov 5, 2024 · Let's talk in this article about the combination of facial recognition and deep learning, and whether we can really improve the accuracy of our authentication ...
In this work, we evaluate the speed–accuracy tradeoff of three popular deep-learning-based face detectors on the WIDER Face and UFDD data sets in several CPUs ...
Jul 3, 2024 · This paper introduces Real-Vul, a comprehensive dataset representing real-world scenarios for evaluating vulnerability detection models.