A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild

• URL: http://arxiv.org/abs/2303.09293v2
• Date: Sun, 19 Mar 2023 05:27:26 GMT
• Title: A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
• Authors: Dang-Khanh Nguyen, Ngoc-Huynh Ho, Sudarshan Pant, Hyung-Jeong Yang
• Abstract summary: We propose our transformer-based model to handle Emotion Classification Task in the 5th Affective Behavior Analysis In-the-wild Competition. By leveraging the attentive model and the synthetic dataset, we attain a score of 0.4775 on the validation set of Aff-Wild2.
• Score: 5.161531917413708
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In recent years, transformer architecture has been a dominating paradigm in many applications, including affective computing. In this report, we propose our transformer-based model to handle Emotion Classification Task in the 5th Affective Behavior Analysis In-the-wild Competition. By leveraging the attentive model and the synthetic dataset, we attain a score of 0.4775 on the validation set of Aff-Wild2, the dataset provided by the organizer.

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