Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment
Citations
1,162 citations
415 citations
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Cites background from "Deep Alignment Network: A Convoluti..."
...erated from landmark coordinates, is widely used for face alignment [5, 29, 64, 50]....
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165 citations
Cites methods from "Deep Alignment Network: A Convoluti..."
...Kowalski: The method in [27] used a VGG-based alignment network to correct similarity transforms and then a fully-convolutional network that regressed to the final shape....
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116 citations
References
111,197 citations
"Deep Alignment Network: A Convoluti..." refers methods in this paper
...For optimization we use Adam stochastic optimization [15] with an initial step size of 0....
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55,235 citations
"Deep Alignment Network: A Convoluti..." refers methods in this paper
...The overall shape of the feed-forwad network was inspired by the network used in [26] for the ImageNet ILSVRC 2014 competition....
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46,906 citations
"Deep Alignment Network: A Convoluti..." refers methods in this paper
...riety of CSR based methods introduced in the literature lie in the choice of the feature extraction method ˚and the regression method r t. For instance, Supervised Descent Method (SDM) [32] uses SIFT [19] features and a simple linear regressor. LBF [21] takes advantage of sparse features generated from binary trees and intensity differences of individual pixels. LBF uses Support Vector Regression [9] ...
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33,597 citations
"Deep Alignment Network: A Convoluti..." refers background in this paper
...A dropout [27] layer is added before the first fully connected layer....
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31,952 citations
"Deep Alignment Network: A Convoluti..." refers methods in this paper
...Said method extracts HOG [?] features at each of the landmarks and uses a linear model to estimate the error....
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...Said method extracts HOG [8] features at each of the landmarks and uses a linear model to estimate the error....
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