Facial Action Unit Recognition Based on Transfer Learning

03/25/2022
by   Shangfei Wang, et al.
0

Facial action unit recognition is an important task for facial analysis. Owing to the complex collection environment, facial action unit recognition in the wild is still challenging. The 3rd competition on affective behavior analysis in-the-wild (ABAW) has provided large amount of facial images with facial action unit annotations. In this paper, we introduce a facial action unit recognition method based on transfer learning. We first use available facial images with expression labels to train the feature extraction network. Then we fine-tune the network for facial action unit recognition.

READ FULL TEXT

page 1

page 2

page 3

research
07/20/2022

Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge

Facial valence/arousal, expression and action unit are related tasks in ...
research
03/16/2023

Facial Affective Behavior Analysis Method for 5th ABAW Competition

Facial affective behavior analysis is important for human-computer inter...
research
07/19/2018

Transfer Learning for Action Unit Recognition

This paper presents a classifier ensemble for Facial Expression Recognit...
research
04/22/2019

Facial Expression Recognition Research Based on Deep Learning

With the development of deep learning, the structure of convolution neur...
research
06/04/2021

Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition

Current works formulate facial action unit (AU) recognition as a supervi...
research
03/03/2021

DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization

Facial action unit recognition has many applications from market researc...
research
03/15/2023

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection

Human affective behavior analysis plays a vital role in human-computer i...

Please sign up or login with your details

Forgot password? Click here to reset