Robust face recognition based on multi-task convolutional neural network
Purpose: Due to the lack of prior knowledge of face images, large illumination changes, and complex backgrounds, the accuracy of face recognition is low. To address this issue, we propose a face detection and recognition algorithm based on multi-task convolutional neural network (MTCNN). Methods...
Guardado en:
Autores principales: | Huilin Ge, Yuewei Dai, Zhiyu Zhu, Biao Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
AIMS Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fc147976f2f441c396fb355a04cd28d7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database
por: Alexander Tack, et al.
Publicado: (2021) -
Categorization of sentence recognition for older adults under noisy and time-altered conditions
por: Kim S, et al.
Publicado: (2018) -
Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework
por: Faisal Mehmood, et al.
Publicado: (2021) -
Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition
por: Alberto Benayas, et al.
Publicado: (2021) -
GNSS-IR Snow Depth Retrieval from Multi-GNSS and Multi-Frequency Data
por: Jinsheng Tu, et al.
Publicado: (2021)