1 citations · 1 across the 3 of their papers we have counts for
4 papers
One Last Attention for Your Vision-Language Model
Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao +2
Pretrained vision-language models (VLMs), such as CLIP, achieve remarkable zero-shot performance, yet their downstream potential hinges on effective fine-tuning. Most adaptation me…
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
Liang Chen, Yong Zhang, Yibing Song +2
Domain generalization (DG) methods aim to maintain good performance in an unseen target domain by using training data from multiple source domains. While success on certain occasio…
A Causal Inspired Early-Branching Structure for Domain Generalization
Liang Chen, Yong Zhang, Yibing Song +2
Learning domain-invariant semantic representations is crucial for achieving domain generalization (DG), where a model is required to perform well on unseen target domains. One crit…
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Xiaofeng Cao, Qi Chen +4
Source-Free Unsupervised Domain Adaptation (SFUDA) is a challenging task where a model needs to be adapted to a new domain without access to target domain labels or source domain d…