Multitask Learning Strategy with Pseudo-Labeling: Face Recognition, Facial Landmark Detection, and Head Pose Estimation

Most facial analysis methods perform well in standardized testing but not in real-world testing. The main reason is that training models cannot easily learn various human features and background noise, especially for facial landmark detection and head pose estimation tasks with limited and noisy tra...

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Autors principals:	Yongju Lee, Sungjun Jang, Han Byeol Bae, Taejae Jeon, Sangyoun Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-05-01
Col·lecció:	Sensors
Matèries:	multitask learning face recognition facial landmark detection head pose estimation pseudo-labeling
Accés en línia:	https://www.mdpi.com/1424-8220/24/10/3212
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