SG-AMDM: a semantic-guided adaptive mask diffusion model for catenary component defect detection in electrified railways
In electrified railways, health condition monitoring and measurement of Catenary Support Components (CSCs) are essential for safe operation. However, existing methods rely on category-specific templates or sufficient labelled defect samples. To address these limitations, this paper proposes a novel unsupervised detecti...