Research on training algorithm of facial expression dataset based on variable weights

Yunsheng Ye; Xiaodong Zhang; Hua Lin; Peng Zhang; Li Rong

doi:10.1117/12.3011555

7 December 2023 Research on training algorithm of facial expression dataset based on variable weights

Yunsheng Ye, Xiaodong Zhang, Hua Lin, Peng Zhang, Li Rong

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411F (2023) https://doi.org/10.1117/12.3011555
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In the field of facial expression recognition, the subjectiveness of annotators leads to the phenomenon of label uncertainty in dataset samples. In this paper, the training Algorithm of facial expression Dataset based on variable weights is used to complete the label correction for uncertain samples. This algorithm can fully exploit the training potential of the dataset through the change of loss function weight in the training process. The algorithm in this paper achieves excellent results on the facial expression dataset RAF-DB.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yunsheng Ye, Xiaodong Zhang, Hua Lin, Peng Zhang, and Li Rong "Research on training algorithm of facial expression dataset based on variable weights", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411F (7 December 2023); https://doi.org/10.1117/12.3011555

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