Multi‐view facial action unit detection via deep feature enhancement
Abstract Multi‐view facial action unit (AU) analysis has been a challenging research topic due to multiple disturbing variables, including subject identity biases, variational facial action unit intensities, facial occlusions and non‐frontal head‐poses. A deep feature enhancement (DFE) framework is...
Guardado en:
Autores principales: | Chuangao Tang, Cheng Lu, Wenming Zheng, Yuan Zong, Sunan Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ced6bbb8b8f949f39138f41bc36cdb20 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Multi-View Feature Fusion Based Four Views Model for Mammogram Classification Using Convolutional Neural Network
por: Hasan Nasir Khan, et al.
Publicado: (2019) -
Emotion Recognition Using a Glasses-Type Wearable Device via Multi-Channel Facial Responses
por: Jangho Kwon, et al.
Publicado: (2021) -
Multi-Level Refinement Feature Pyramid Network for Scale Imbalance Object Detection
por: Lubna Aziz, et al.
Publicado: (2021) -
A deep neural network based method for magnetic anomaly detection
por: Yizhen Wang, et al.
Publicado: (2022) -
Multi-View Data Augmentation to Improve Wound Segmentation on 3D Surface Model by Deep Learning
por: R. Niri, et al.
Publicado: (2021)