MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

Author:

Sun Licai1ORCID,Lian Zheng2ORCID,Liu Bin2ORCID,Tao Jianhua3ORCID

Affiliation:

1. University of Chinese Academy of Sciences, Beijing, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Tsinghua University, Beijing, China

Funder

Open Research Projects of Zhejiang Lab

Beijing Municipal Science&Technology Commission,Administrative Commission of Zhongguancun Science Park

National Natural Science Foundation of China (NSFC)

CCF- Baidu Open Fund

Publisher

ACM

Reference69 articles.

1. Alexei Baevski , Yuhao Zhou , Abdelrahman Mohamed , and Michael Auli . 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems , Vol. 33 ( 2020 ), 12449--12460. Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems, Vol. 33 (2020), 12449--12460.

2. Hangbo Bao , Li Dong , Songhao Piao , and Furu Wei . 2022 . BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations. https://openreview.net/forum?id=p-BhZSz59o4 Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2022. BEiT: BERT Pre-Training of Image Transformers. In International Conference on Learning Representations. https://openreview.net/forum?id=p-BhZSz59o4

3. Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries

4. Facial Expression Recognition Using 3D Convolutional Neural Network

5. Houwei Cao , David G Cooper , Michael K Keutmann , Ruben C Gur , Ani Nenkova , and Ragini Verma . 2014 . Crema-d: Crowd-sourced emotional multimodal actors dataset . IEEE transactions on affective computing, Vol. 5 , 4 (2014), 377--390. Houwei Cao, David G Cooper, Michael K Keutmann, Ruben C Gur, Ani Nenkova, and Ragini Verma. 2014. Crema-d: Crowd-sourced emotional multimodal actors dataset. IEEE transactions on affective computing, Vol. 5, 4 (2014), 377--390.

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