Domain generalization (DG) is a prevalent problem in real-world applications, which aims to
train well-generalized models for unseen target domains by utilizing several source …

Fine-grained visual categorization (FGVC) is a challenging task due to similar visual
appearances between various species. Previous studies always implicitly assume that the …

Abstract Out-Of-Distribution (OOD) generalization is an essential topic in machine learning.
However, recent research is only focusing on the corresponding methods for neural …

Family function reflects the operating status of the family system, which plays a vital role in
children's mental health. The current meta-analysis examined the association between …