Deep recurrent regression for facial landmark detection
We propose a novel end-to-end deep architecture for face landmark detection, based on a
deep convolutional and deconvolutional network followed by carefully designed recurrent …
deep convolutional and deconvolutional network followed by carefully designed recurrent …
Leveraging datasets with varying annotations for face alignment via deep regression network
Facial landmark detection, as a vital topic in computer vision, has been studied for many
decades and lots of datasets have been collected for evaluation. These datasets usually …
decades and lots of datasets have been collected for evaluation. These datasets usually …