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arXiv · 2407.12258

Facial Affect Recognition based on Multi Architecture Encoder and Feature Fusion for the ABAW7 Challenge

Kang Shen·Xuxiong Liu·Boyan Wang·Jun Yao·Xin Liu·Yujie Guan·Yu Wang·Gengchen Li·Xiao Sun
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Abstract

In this paper, we present our approach to addressing the challenges of the 7th ABAW competition. The competition comprises three sub-challenges: Valence Arousal (VA) estimation, Expression (Expr) classification, and Action Unit (AU) detection. To tackle these challenges, we employ state-of-the-art models to extract powerful visual features. Subsequently, a Transformer Encoder is utilized to integrate these features for the VA, Expr, and AU sub-challenges. To mitigate the impact of varying feature dimensions, we introduce an affine module to align the features to a common dimension. Overall, our results significantly outperform the baselines.

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Kang Shen, Xuxiong Liu, Boyan Wang, Jun Yao, Xin Liu, Yujie Guan, Yu Wang, Gengchen Li, Xiao Sun. 2024-07-17. Facial Affect Recognition based on Multi Architecture Encoder and Feature Fusion for the ABAW7 Challenge. https://arxiv.org/abs/2407.12258

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