  Facial affective behavior analysis is important for human-computer
interaction. 5th ABAW competition includes three challenges from Aff-Wild2
database. Three common facial affective analysis tasks are involved, i.e.
valence-arousal estimation, expression classification, action unit recognition.
For the three challenges, we construct three different models to solve the
corresponding problems to improve the results, such as data unbalance and data
noise. For the experiments of three challenges, we train the models on the
provided training data and validate the models on the validation data.
