Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset

Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset

Facial expression recognition (FER) is a challenging problem in the fields of pattern recognition and computer vision. The recent success of convolutional neural networks (CNNs) in object detection and object segmentation tasks has shown promise in building an automatic deep CNN-based FER model. How...

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Bibliographic Details
Main Authors: Quan T. Ngo, Seokhoon Yoon
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
facial expression recognition
deep convolutional neural network
transfer learning
auxiliary loss
weighted loss
class center
Online Access:https://www.mdpi.com/1424-8220/20/9/2639

Internet

https://www.mdpi.com/1424-8220/20/9/2639

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