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https://rda.sliit.lk/handle/123456789/3142| Title: | Child Head Gesture Classification through Transformers |
| Authors: | Wedasingha, N Samarasinghe, P Singarathnam, D Papandrea, M Puiatti, A Seneviratne, L |
| Keywords: | Head Pose Estimation Logistic Regression SVM Transfer Learning Transformer |
| Issue Date: | 4-Nov-2022 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | N. Wedasingha, P. Samarasinghe, D. Singarathnam, M. Papandrea, A. Puiatti and L. Seneviratne, "Child Head Gesture Classification through Transformers," TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Hong Kong, Hong Kong, 2022, pp. 1-6, doi: 10.1109/TENCON55691.2022.9977990. |
| Series/Report no.: | IEEE Region 10 Annual International Conference, Proceedings/TENCON; |
| Abstract: | This paper proposes a transformer network for head pose classification (HPC) which outperforms the existing SoA for HPC. This robust model is then extended to overcome the limited child data challenge by applying transfer learning resulting in an accuracy of 95.34% for child HPC in the wild. |
| URI: | https://rda.sliit.lk/handle/123456789/3142 |
| ISSN: | 21593442 |
| Appears in Collections: | Department of Information Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Child_Head_Gesture_Classification_through_Transformers.pdf Until 2050-12-31 | 780.84 kB | Adobe PDF | View/Open Request a copy |
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