Human Reaction Intensity Estimation with Ensemble of Multi-task Networks

03/16/2023
by   JiYeon Oh, et al.
0

Facial expression in-the-wild is essential for various interactive computing domains. Especially, "Emotional Reaction Intensity" (ERI) is an important topic in the facial expression recognition task. In this paper, we propose a multi-emotional task learning-based approach and present preliminary results for the ERI challenge introduced in the 5th affective behavior analysis in-the-wild (ABAW) competition. Our method achieved the mean PCC score of 0.3254.

READ FULL TEXT

page 3

page 4

research
07/20/2022

Learning from Synthetic Data: Facial Expression Classification based on Ensemble of Multi-task Networks

Facial expression in-the-wild is essential for various interactive compu...
research
03/17/2023

ABAW : Facial Expression Recognition in the wild

The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has...
research
03/19/2023

Computer Vision Estimation of Emotion Reaction Intensity in the Wild

Emotions play an essential role in human communication. Developing compu...
research
03/01/2023

FaceRNET: a Facial Expression Intensity Estimation Network

This paper presents our approach for Facial Expression Intensity Estimat...
research
07/08/2021

Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

Automatic affective recognition has been an important research topic in ...
research
03/16/2023

A Dual Branch Network for Emotional Reaction Intensity Estimation

Emotional Reaction Intensity(ERI) estimation is an important task in mul...
research
09/29/2020

A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wild

Human affective recognition is an important factor in human-computer int...

Please sign up or login with your details

Forgot password? Click here to reset