Learning from More: Combating Uncertainty Cross-multidomain for Facial Expression Recognition

Author:

Liu Hanwei1ORCID,Cai Huiling1ORCID,Lin Qingcheng1ORCID,Li Xuefeng1ORCID,Xiao Hui2ORCID

Affiliation:

1. Tongji University, Shanghai, China

2. Tongji University, Tongji University, China

Funder

Shanghai Municipal Commission of Science and Technology Project

Shanghai Municipal Science and Technology Major Project

Shanghai Science and Technology Planning Project

Fundamental Research Funds for the Central Universities

Publisher

ACM

Reference51 articles.

1. Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition

2. Unsupervised Multi-Source Domain Adaptation for Person Re-Identification

3. Training deep networks for facial expression recognition with crowd-sourced label distribution

4. Dongliang Chen , Peng Song , and Wenming Zheng . 2021b. Learning Transferable Sparse Representations for Cross-corpus Facial Expression Recognition . IEEE Transactions on Affective Computing ( 2021 ). Dongliang Chen, Peng Song, and Wenming Zheng. 2021b. Learning Transferable Sparse Representations for Cross-corpus Facial Expression Recognition. IEEE Transactions on Affective Computing (2021).

5. Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition

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