no code implementations • 7 Mar 2024 • Zeng Tao, Yan Wang, Junxiong Lin, Haoran Wang, Xinji Mai, Jiawen Yu, Xuan Tong, Ziheng Zhou, Shaoqi Yan, Qing Zhao, Liyuan Han, Wenqiang Zhang
Specifically, our A$^{3}$lign-DFER method is designed with multiple modules that work together to obtain the most suitable expanded-dimensional embeddings for classification and to achieve alignment in three key aspects: affective, dynamic, and bidirectional.
Dynamic Facial Expression Recognition Facial Expression Recognition