Deep Learning for Facial Informatics

• Andere auteurs: Hsu, Gee-Sern Jison (Redacteur), Timofte, Radu (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Onderwerpen: History of engineering & 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 toegang: DOAB: download the publication; DOAB: description of the publication

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...