Lizhuang Ma

Rethinking Domain Generalization: Discriminability and Generalizability

2023 · arXiv (Cornell University)

Domain generalization(DG) endeavors to develop robust models that possess strong generalizability while preserving excellent discriminability. Nonetheless, pivotal DG techniques tend to improve the feature generalizability by learning domain-invariant representations, inadvertently overlooking the feature discriminability. On …

Style-Aware Cross Domain Few-Shot Anomaly Detection

2025 · Journal of Computer-Aided Design & Computer Graphics

Few-shot anomaly detection involves using a limited number of normal samples to detect and localize anomalies. While existing methods for few-shot anomaly detection are primarily applied within the same domain, research on cross-domain scenarios remains …