Two research papers on Facial Expression Recognition (FER) have been presented.
The first paper introduces the Ada-DF framework, which addresses FER through label distribution learning paradigm.
The second paper proposes the LEAF framework, which focuses on semi-supervised FER by coordinating expression-relevant representations and pseudo-labels.
Both frameworks outperform existing methods in their respective areas and offer potential advancements in FER.