Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Longteng Duan; Wei Shao; Linqi Song

doi:10.1109/tencon55691.2022.9977653

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JOURNAL ARTICLE

Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Longteng Duan Wei Shao Linqi Song

Year: 2022 Journal: TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON) Vol: 91 Pages: 1-5

DOI: 10.1109/tencon55691.2022.9977653

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Abstract

We propose a Transformer-based facial expression detection framework, combining different data enhancement methods with pre-trained model, achieves the best performance compared with other baselines.

Keywords:

Computer science Transformer Facial expression Facial expression recognition Artificial intelligence Pattern recognition (psychology) Facial recognition system Speech recognition Computer vision Engineering Voltage

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Topics

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gaze Tracking and Assistive Technology

Physical Sciences → Computer Science → Human-Computer Interaction

Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Abstract

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