Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Longteng Duan; Wei Shao; Linqi Song

doi:10.1109/TENCON55691.2022.9977653

Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Longteng Duan
, Wei Shao^*
, Linqi Song^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

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.

Original language	English
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	IEEE
Number of pages	5
ISBN (Electronic)	978-1-6654-5095-9
ISBN (Print)	978-1-6654-5096-6
DOIs	https://doi.org/10.1109/TENCON55691.2022.9977653
Publication status	Published - Nov 2022
Event	2022 IEEE Region 10 Conference (TENCON 2022): Tech-Biz Intelligence - Hybrid, Hong Kong, China Duration: 1 Nov 2022 → 4 Nov 2022 https://www.tencon2022.org/

Publication series

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

Conference

Conference	2022 IEEE Region 10 Conference (TENCON 2022)
Abbreviated title	IEEE TENCON 2022
Place	Hong Kong, China
Period	1/11/22 → 4/11/22
Internet address	https://www.tencon2022.org/

Funding

This work was supported in part by the Changsha Science and Technology Program International and Regional Science and Technology Cooperation Project under Grants kh2201026, the Hong Kong RGC grant ECS 21212419, the Technological Breakthrough Project of Science, Technology and Innovation Commission of Shenzhen Municipality under Grants JSGG20201102162000001, InnoHK initiative, the Government of the HKSAR, Laboratory for AI-Powered Financial Technologies, the Hong Kong UGC Special Virtual Teaching and Learning (VTL) Grant 6430300, Hong Kong UGC RMGS 9229003, and the Tencent AI Lab Rhino-Bird Gift Fund.

Research Keywords

facial expression recognition
transformer
data augmentation

RGC Funding Information

RGC-funded

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10.1109/TENCON55691.2022.9977653

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Check CityUHK Library

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1 Finished
1 Active

DON_RMG: Event-based Natural Language Understanding - RMGS
SONG, L. (Principal Investigator / Project Coordinator)
1/08/19 → …
Project: Research
ECS: Machine Learning Over Wireless: An Application in Wireless Recommender Systems
SONG, L. (Principal Investigator / Project Coordinator)
1/09/19 → 26/08/24
Project: Research

Cite this

@inproceedings{408cc98187c547989d6d587643ace22b,

title = "Facial Expression Recognition Based on Data Augmentation and Swin-Transformer",

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 = "facial expression recognition, transformer, data augmentation",

author = "Longteng Duan and Wei Shao and Linqi Song",

year = "2022",

month = nov,

doi = "10.1109/TENCON55691.2022.9977653",

language = "English",

isbn = "978-1-6654-5096-6",

publisher = "IEEE",

booktitle = "2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration",

address = "United States",

note = "2022 IEEE Region 10 Conference (TENCON 2022) : Tech-Biz Intelligence, IEEE TENCON 2022 ; Conference date: 01-11-2022 Through 04-11-2022",

url = "https://www.tencon2022.org/",

}

Duan, L, Shao, W & Song, L 2022, Facial Expression Recognition Based on Data Augmentation and Swin-Transformer. in 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. IEEE, 2022 IEEE Region 10 Conference (TENCON 2022), Hong Kong, China, 1/11/22. https://doi.org/10.1109/TENCON55691.2022.9977653

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”. IEEE, 2022.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

AU - Duan, Longteng

AU - Shao, Wei

AU - Song, Linqi

PY - 2022/11

Y1 - 2022/11

N2 - 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.

AB - 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.

KW - facial expression recognition

KW - transformer

KW - data augmentation

U2 - 10.1109/TENCON55691.2022.9977653

DO - 10.1109/TENCON55691.2022.9977653

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-5096-6

BT - 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration

PB - IEEE

T2 - 2022 IEEE Region 10 Conference (TENCON 2022)

Y2 - 1 November 2022 through 4 November 2022

ER -

Facial Expression Recognition Based on Data Augmentation and Swin-Transformer

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

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Projects

DON_RMG: Event-based Natural Language Understanding - RMGS

ECS: Machine Learning Over Wireless: An Application in Wireless Recommender Systems

Cite this