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Deep Learning for Facial Informatics

Deep learning has been revolutionizing many fields in computer vision, and facial informatics is one of the major fields. Novel approaches and performance breakthroughs are often reported on existing benchmarks. As the performances on existing benchmarks are close to saturation, larger and more chal...

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Корпоративные авторы:	Hsu, Gee-Sern Jison, Timofte, Radu
Формат:	Livro
Язык:	Inglês
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2020
Предметы:	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology deep learning RGB depth facial landmarking merging networks 3D geometry data 2D attribute maps fused CNN feature coarse-to-fine convolutional neural network (CNN) deep metric learning multi-task learning image classification age estimation generative adversarial network emotion classification facial key point detection facial images processing convolutional neural networks face liveness detection convolutional neural network thermal image external knowledge
Online-ссылка:	https://directory.doabooks.org/handle/20.500.12854/69112
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Deep Learning for Facial Informatics

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