Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
Not on the map. Why?
Abstract (arXiv)
In this work, we describe our method for tackling the valence-arousal estimation challenge from ABAW FG-2020 Competition. The competition organizers provide an in-the-wild Aff-Wild2 dataset for participants to analyze affective behavior in real-life settings. We use MIMAMO Net citedeng2020mimamo model to achieve information about micro-motion and macro-motion for improving video emotion recognition and achieve Concordance Correlation Coefficient (CCC) of 0.415 and 0.511 for valence and arousal on the reselected validation set.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 7 of its 13 references that are in the map. First posted on arXiv 4 May 2021.
Builds on
7 of 13 references.
References · 7
- 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
- 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
- 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
- 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
- 2020Multitask Emotion Recognition with Incomplete Labelscited by 39
- 2018The OMG-Emotion Behavior Datasetcited by 25
- 2019MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognitioncited by 17
Built on by
Citing papers per year: 2021: 3; 2022: 2; 2023: 1; 2024: 2.
8 papers.
- 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
- 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
- 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
- 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
- 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
- 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
- 2021A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysiscited by 19
- 2021Causal affect prediction model using a facial image sequencecited by 8
- 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognition4 Jul 2024
- 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition29 Feb 2024
- 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges2 Mar 2023
- 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges3 Jul 2022
- 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges22 Feb 2022
- 2021A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis9 Jul 2021
- 2021Causal affect prediction model using a facial image sequence8 Jul 2021
- 2021Analysing Affective Behavior in the second ABAW2 Competition14 Jun 2021