Domain-Agnostic Feature Modulation for Semi-Supervised Domain Generalization 事件

Domain-Agnostic Feature Modulation for Semi-Supervised Domain Generalization arXiv:2503.20897v2 Announce Type: replace Abstract: Semi-supervised domain generalization (SSDG) leverages a small fraction of labeled data alongside unlabeled data to enhance model generalization. Most of the existing SSDG methods rely on pseudo-labeling (PL) for unlabeled data, often assuming access to domain labels-a privilege not always available. However, domain shifts introduce domain noise, leading to inconsiste