Technical Report for Valence-Arousal Estimation on Affwild2 Dataset

• URL: http://arxiv.org/abs/2105.01502v1
• Date: Tue, 4 May 2021 14:00:07 GMT
• Title: Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
• Authors: I-Hsuan Li
• Abstract summary: We tackle the valence-arousal estimation challenge from ABAW FG-2020 Competition. We use MIMAMO Net citedeng 2020mimamo model to achieve information about micro-motion and macro-motion.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 \cite{deng2020mimamo} 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.

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