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Computer Science > Computer Vision and Pattern Recognition

arXiv:2303.10561 (cs)
[Submitted on 19 Mar 2023]

Title:Spatial-temporal Transformer for Affective Behavior Analysis

Authors:Peng Zou, Rui Wang, Kehua Wen, Yasi Peng, Xiao Sun
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Abstract:The in-the-wild affective behavior analysis has been an important study. In this paper, we submit our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes V-A Estimation, Facial Expression Classification and AU Detection Sub-challenges. We propose a Transformer Encoder with Multi-Head Attention framework to learn the distribution of both the spatial and temporal features. Besides, there are virious effective data augmentation strategies employed to alleviate the problems of sample imbalance during model training. The results fully demonstrate the effectiveness of our proposed model based on the Aff-Wild2 dataset.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2303.10561 [cs.CV]
  (or arXiv:2303.10561v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2303.10561

Submission history

From: Peng Zou [view email]
[v1] Sun, 19 Mar 2023 04:34:17 UTC (1,822 KB)
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