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
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration |
Subtitle of host publication | “Tech-Biz Intelligence” |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 5 |
ISBN (Electronic) | 978-1-6654-5095-9 |
ISBN (Print) | 978-1-6654-5096-6 |
Publication status | Published - Nov 2022 |
Publication series
Name | |
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ISSN (Print) | 2159-3442 |
ISSN (Electronic) | 2159-3450 |
Conference
Title | 2022 IEEE Region 10 Conference (TENCON 2022) |
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Location | Hybrid |
Place | Hong Kong |
Period | 1 - 4 November 2022 |
Link(s)
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