A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network

A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network

This paper proposes a new method based on a multiple branch cross-connected convolutional neural network (MBCC-CNN) for facial expression recognition. Compared with traditional machine learning methods, the proposed method can extract image features more effectively. In addition, in contrast to sing...

Full description

Bibliographic Details
Main Authors: Cuiping Shi, Cong Tan, Liguo Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
convolutional neural network
residual connection
network in network
robustness
Online Access:https://ieeexplore.ieee.org/document/9367192/

Internet

https://ieeexplore.ieee.org/document/9367192/

Similar Items