EPAT: Euclidean Perturbation Analysis and Transform-An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors. Wu, Y., AbdAlmageed, W., Rawls, S., & Natarajan, P. In Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International Conference on, pages 222–229, 2017. IEEE.
bibtex   
@inproceedings{wu_epat:_2017,
	title = {{EPAT}: {Euclidean} {Perturbation} {Analysis} and {Transform}-{An} {Agnostic} {Data} {Adaptation} {Framework} for {Improving} {Facial} {Landmark} {Detectors}},
	booktitle = {Automatic {Face} \& {Gesture} {Recognition} ({FG} 2017), 2017 12th {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Wu, Yue and AbdAlmageed, Wael and Rawls, Stephen and Natarajan, Premkumar},
	year = {2017},
	pages = {222--229},
}

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