Action Units Recognition by Pairwise Deep Architecture

10/01/2020
by   Junya Saito, et al.
0

In this paper, we propose a new automatic Action Units (AUs) recognition method used in a competition, Affective Behavior Analysis in-the-wild (ABAW). Our method tackles a problem of AUs label inconsistency among subjects by using pairwise deep architecture. While the baseline score is 0.31, our method achieved 0.67 in validation dataset of the competition.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/07/2021

Action Units Recognition Using Improved Pairwise Deep Architecture

Facial Action Units (AUs) represent a set of facial muscular activities ...
research
03/24/2022

Facial Action Unit Recognition With Multi-models Ensembling

The Affective Behavior Analysis in-the-wild (ABAW) 2022 Competition give...
research
01/30/2020

Analysing Affective Behavior in the First ABAW 2020 Competition

The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is t...
research
07/08/2021

Technical Report for Valence-Arousal Estimation in ABAW2 Challenge

In this work, we describe our method for tackling the valence-arousal es...
research
02/22/2022

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection Multi-Task Learning Challenges

This paper describes the third Affective Behavior Analysis in-the-wild (...
research
02/04/2020

Multi-label Relation Modeling in Facial Action Units Detection

This paper describes an approach to the facial action units detections. ...
research
07/09/2021

Seven Basic Expression Recognition Using ResNet-18

We propose to use a ResNet-18 architecture that was pre-trained on the F...

Please sign up or login with your details

Forgot password? Click here to reset