Unsupervised Domain Adaptation (UDA) has attracted a surge of interest o...
Domain generalization (DG) enables generalizing a learning machine from
...
Network alignment task, which aims to identify corresponding nodes in
di...
During clinical practice, radiologists often use attributes, e.g.
morpho...
Domain Adaptive Object Detection (DAOD) focuses on improving the
general...
Domain generalization (DG) aims to improve the generalization performanc...
Mammogram mass detection is crucial for diagnosing and preventing the br...
Recent works on two-stage cross-domain detection have widely explored th...
Recent advances in adaptive object detection have achieved compelling re...
Automatic and accurate segmentation of the ventricles and myocardium fro...
Graph alignment, also known as network alignment, is a fundamental task ...
Unsupervised domain adaptation (UDA) transfers knowledge from a label-ri...