Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition

Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition

Facial Expression Recognition (FER) is a challenging task that improves natural human-computer interaction. This paper focuses on automatic FER on a single in-the-wild (ITW) image. ITW images suffer real problems of pose, direction, and input resolution. In this study, we propose a pyramid with supe...

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Bibliographic Details
Main Authors: Thanh-Hung Vo, Guee-Sang Lee, Hyung-Jeong Yang, Soo-Hyung Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Emotion recognition
image resolution
human computer interaction
Online Access:https://ieeexplore.ieee.org/document/9143068/

Internet

https://ieeexplore.ieee.org/document/9143068/

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