On two small facial palsy datasets, the pre-trained deep learning Face Alignment Network (FAN) produced lower normalized mean error for facial landmark localization than the TSM and DRMF methods.
Face alignment by explicit shape regression
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
On two small facial palsy datasets, the pre-trained deep learning Face Alignment Network (FAN) produced lower normalized mean error for facial landmark localization than the TSM and DRMF methods.