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Titlebook: Deep Learning-Based Face Analytics; Nalini K Ratha,Vishal M. Patel,Rama Chellappa Book 2021 The Editor(s) (if applicable) and The Author(s

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Frieden als Referenzdimension der SDGss due to the confluence of several factors, primarily the development of advanced machine learning algorithms, free and robust software implementations thereof, ever faster GPU processors for running them, vast web-scraped face image databases, open performance benchmarks, and a vibrant face recognition literature.
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Nalini K Ratha,Vishal M. Patel,Rama ChellappaIs First compiled source on deep learning applied to face image and video analytics.Reflects on Bias in face analytic algorithms using AI methods.Explores on Deepfake attacks in face recognition.Compa
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Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/d/image/264640.jpg
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Deep Feature Fusion for Face Analytics, raw data, (ii) .—which process the raw data from sensors to generate features representing the original data, and (iii) .- –which produce a score or a measure that conveys the likelihood of the provided features belonging to an application specific hypothesis.
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