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This paper presents a new facial landmark detection method for images and videos under uncontrolled conditions, based on a proposed Face Alignment Recurrent Network (FARN). The network works in recurrent fashion and is end-to-end trained to help avoid over-strong early stage regressors and over-weak later stage regressors as in many existing works. Long Short Term Memory (LSTM) model is employed in...
This paper presents a novel cascade multi-channel convolutional neural networks(CMC-CNN) approach for face alignment. Several CNN are jointly used for the finally output. In our method, each stage CNN takes the local region around the landmarks as input, and each local patches does convolution separately, which can lead network to learn local high-level features. Then a fully connected layer is put...
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