Domain generalization (DG) aims to learn a robust model from source doma...
The success of the GPT series proves that GPT can extract general inform...
Deep neural networks (DNNs) achieve promising performance in visual
reco...
Source-free domain adaptation aims to adapt deep neural networks using o...
Test time adaptation (TTA) aims to adapt deep neural networks when recei...
Multi-modality medical imaging is crucial in clinical treatment as it ca...
In this paper, considering the balance of data/model privacy of model ow...
Domain Generalization (DG) is a fundamental challenge for machine learni...
Unsupervised image semantic segmentation(UISS) aims to match low-level v...