Face-based age estimation using improved Swin Transformer with attention-based convolution.

Shi, Chaojun; Zhao, Shiwei; Zhang, Ke; Wang, Yibo; Liang, Longping

Shi, Chaojun; Zhao, Shiwei; Zhang, Ke; Wang, Yibo; Liang, Longping.

Afiliación

Shi C; Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei, China.
Zhao S; Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, Hebei, China.
Zhang K; Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei, China.
Wang Y; Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei, China.
Liang L; Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding, Hebei, China.

Front Neurosci ; 17: 1136934, 2023.

Article en En | MEDLINE | ID: mdl-37123378

Palabras clave

Swin Transformer; age estimation; attention mechanism; deep learning; neural networks

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google