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cs.CV2023
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu, Aidong Men, Yang Liu +2
In deep learning, initializing models with pre-trained weights has become the de facto practice for various downstream tasks. Many unsupervised domain adaptation (UDA) methods typi…
cs.CV2023
Causality-based Dual-Contrastive Learning Framework for Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao +1
Domain Generalization (DG) is essentially a sub-branch of out-of-distribution generalization, which trains models from multiple source domains and generalizes to unseen target doma…