Cargando…
Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition †
Facial expression recognition (FER) technology has made considerable progress with the rapid development of deep learning. However, conventional FER techniques are mainly designed and trained for videos that are artificially acquired in a limited environment, so they may not operate robustly on vide...
Autores principales: | Lee, Min Kyu, Kim, Dae Ha, Song, Byung Cheol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571042/ https://www.ncbi.nlm.nih.gov/pubmed/32932939 http://dx.doi.org/10.3390/s20185184 |
Ejemplares similares
-
Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes
por: Yebes, J. Javier, et al.
Publicado: (2015) -
Multi-Level and Multi-Scale Feature Aggregation Network for Semantic Segmentation in Vehicle-Mounted Scenes
por: Liao, Yong, et al.
Publicado: (2021) -
Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition
por: Wilkes, Ben, et al.
Publicado: (2021) -
Scene Uyghur Recognition Based on Visual Prediction Enhancement
por: Liu, Yaqi, et al.
Publicado: (2023) -
Superpixel-Based Feature for Aerial Image Scene Recognition
por: Li, Hongguang, et al.
Publicado: (2018)