Multi-level knowledge distillation for low-resolution object detection and facial expression recognition

2022 ◽  
pp. 108136
Author(s):  
Tingsong Ma ◽  
Wenhong Tian ◽  
Yuanlun Xie
Keyword(s):  
Facial Expression ◽  
Object Detection ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Low Resolution ◽  
Knowledge Distillation ◽  
Multi Level

Facial Emotion Recognition Using an Ensemble of Multi-Level Convolutional Neural Networks

2019 ◽  
Vol 33 (11) ◽  
pp. 1940015 ◽  
Author(s):  
Hai-Duong Nguyen ◽  
Soonja Yeom ◽  
Guee-Sang Lee ◽  
Hyung-Jeong Yang ◽  
In-Seop Na ◽  
...  
Keyword(s):  
Facial Expression ◽  
Emotion Recognition ◽  
Facial Expression Recognition ◽  
Research Area ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Network Connections ◽  
Multi Level ◽  
Machine Interaction ◽  
Made In

Emotion recognition plays an indispensable role in human–machine interaction system. The process includes finding interesting facial regions in images and classifying them into one of seven classes: angry, disgust, fear, happy, neutral, sad, and surprise. Although many breakthroughs have been made in image classification, especially in facial expression recognition, this research area is still challenging in terms of wild sampling environment. In this paper, we used multi-level features in a convolutional neural network for facial expression recognition. Based on our observations, we introduced various network connections to improve the classification task. By combining the proposed network connections, our method achieved competitive results compared to state-of-the-art methods on the FER2013 dataset.

Low-resolution facial expression recognition: A filter learning perspective

2020 ◽  
Vol 169 ◽  
pp. 107370 ◽  
Author(s):  
Yan Yan ◽  
Zizhao Zhang ◽  
Si Chen ◽  
Hanzi Wang
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Low Resolution
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