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Awarded as best paper at the conference, 2018 : Facial Expression Recognition Using a Multi-level Convolutional Neural Network
Citation
Nguyen, H-D and Yeom, S and Oh, I-S and Kim, K-M and Kim, S-H, Awarded as best paper at the conference, 2018 : Facial Expression Recognition Using a Multi-level Convolutional Neural Network, Proceedings from the International Conference on Pattern Recognition and Artificial Intelligence, 14-17 May 2018, pp. 217-221. (2018) [Award]
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Abstract
Even though many breakthroughs have been made in image classification, especially in facial expression recognition, this research area is still challenging in terms of wild sampling environment. In this work, we carry out a study of multi-level features in a convolutional neural network for facial expression recognition. Based on our observations, we introduce a model by classification task. Our model was evaluated on the FER2013 dataset and achieved a comparable performance to the current state-of-the-art methods.
Item Details
| Item Type: | Award |
|---|---|
| Keywords: | Facial expression recognition in the wild, multi-level convolutional neural networks |
| Research Division: | Information and Computing Sciences |
| Research Group: | Artificial intelligence |
| Research Field: | Artificial intelligence not elsewhere classified |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Artificial intelligence |
| UTAS Author: | Yeom, S (Dr Soonja Yeom) |
| ID Code: | 155322 |
| Year Published: | 2018 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2023-02-11 |
| Last Modified: | 2023-02-14 |
| Downloads: | 0 |
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