A pruning-then-quantization model compression framework for facial emotion recognition
<p>Facial emotion recognition achieves great success with the help of large neural models but also fails to be applied in practical situations due to the large model size of neural methods. To bridge this gap, in this paper, we combine two mainstream model compression methods (pruning and quan...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2023-09-01
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| Series: | Intelligent and Converged Networks |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/ICN.2023.0020 |