Dynamic Resolution Guidance for Facial Expression Recognition

Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging. This paper introduces a practical method called Dynamic Resolution Guidance for Facial Expression Recognition (DRGFER) to effectively recognize facial expressions in images with varying resolutions without compromising FER model accuracy.

Data and Resources

Cite this as

Jie Ou, Xu Li, Tianxiang Jiang, Yuanlun Xie (2024). Dataset: Dynamic Resolution Guidance for Facial Expression Recognition. https://doi.org/10.57702/igs5aqjl

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2404.06365
Author Jie Ou
More Authors
Xu Li
Tianxiang Jiang
Yuanlun Xie