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View robust pairs Introduction • State-of-the-art face recognition → DCNN models • (Taigman et al., 2014; Schroff et al. 2015; Chen et al., 2016; Sankaranrayanan et al., 2016; Ranjan et… Click to show full abstract
View robust pairs Introduction • State-of-the-art face recognition → DCNN models • (Taigman et al., 2014; Schroff et al. 2015; Chen et al., 2016; Sankaranrayanan et al., 2016; Ranjan et al., 2017) • DCNNs designed to model primate visual system (Krizhevsky, et al., 2012) • neural network with multiple layers that convolve and pool image data • representations expand in intermediary layers • highly compressed final representation of image emerges at top layer
Keywords:
face representations;
neural networks;
representations deep;
deep convolutional;
convolutional neural
Journal Title: Journal of Vision
Year Published: 2017
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Journal Title: Journal of Vision
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!