Search Results for author:
Found 3 papers, 1 papers with code
Cross-Domain Ensemble Distillation for Domain Generalization
Domain generalization is the task of learning models that generalize to unseen target domains.
Ranked #31 on
Domain Generalization
on Office-Home
Learning to Generate Novel Classes for Deep Metric Learning
Motivated by this, we introduce a new data augmentation approach that synthesizes novel classes and their embedding vectors.
Cross Domain Ensemble Distillation for Domain Generalization
For domain generalization, the task of learning a model that generalizes to unseen target domains utilizing multiple source domains, many approaches explicitly align the distribution of the domains.
Ranked #31 on
Domain Generalization
on Office-Home
