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

Dang-Khanh NguyenNgoc-Huynh HoSudarshan PantHyung-Jeong Yang
Mar 2023
摘要
In recent years, transformer architecture has been a dominating paradigm inmany applications, including affective computing. In this report, we proposeour transformer-based model to handle Emotion Classification Task in the 5thAffective Behavior Analysis In-the-wild Competition. By leveraging theattentive model and the synthetic dataset, we attain a score of 0.4775 on thevalidation set of Aff-Wild2, the dataset provided by the organizer.
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