Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration
Subtitle of host publication“Tech-Biz Intelligence”
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)978-1-6654-5095-9
ISBN (Print)978-1-6654-5096-6
Publication statusPublished - Nov 2022

Publication series

Name
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Title2022 IEEE Region 10 Conference (TENCON 2022)
LocationHybrid
PlaceHong Kong
Period1 - 4 November 2022

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.

Research Area(s)

  • facial expression recognition, transformer, data augmentation

Citation Format(s)

Facial Expression Recognition Based on Data Augmentation and Swin-Transformer. / Duan, Longteng; Shao, Wei; Song, Linqi.

2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. Institute of Electrical and Electronics Engineers, 2022.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review