Dilated Skip Convolution for Facial Landmark Detection

Facial landmark detection has gained enormous interest for face-related applications due to its success in facial analysis tasks such as facial recognition, cartoon generation, face tracking and facial expression analysis. Many studies have been proposed and implemented to deal with the challenging...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2019-12, Vol.19 (24), p.5350
Hauptverfasser:	Chim, Seyha, Lee, Jin-Gu, Park, Ho-Hyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Convolution Databases, Factual Deep learning Face recognition Facial Recognition Humans Neural networks Neural Networks, Computer Occlusion Post-production processing
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!