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- W2784025535 abstract "Recent developments in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on various object detection/recognition problems. This has been made possible due to the availability of large annotated data and a better understanding of the nonlinear mapping between images and class labels, as well as the affordability of powerful graphics processing units (GPUs). These developments in deep learning have also improved the capabilities of machines in understanding faces and automatically executing the tasks of face detection, pose estimation, landmark localization, and face recognition from unconstrained images and videos. In this article, we provide an overview of deep-learning methods used for face recognition. We discuss different modules involved in designing an automatic face recognition system and the role of deep learning for each of them. Some open issues regarding DCNNs for face recognition problems are then discussed. This article should prove valuable to scientists, engineers, and end users working in the fields of face recognition, security, visual surveillance, and biometrics." @default.
- W2784025535 created "2018-01-26" @default.
- W2784025535 creator A5004716468 @default.
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- W2784025535 creator A5067640069 @default.
- W2784025535 creator A5081528888 @default.
- W2784025535 date "2018-01-01" @default.
- W2784025535 modified "2023-10-18" @default.
- W2784025535 title "Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans" @default.
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