3 papers
cs.CV2025
AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection
Ying Zhao
Anomaly generation is an effective way to mitigate data scarcity for anomaly detection task. Most existing works shine at industrial anomaly generation with multiple specialists or…
cs.CV2024
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization
Ying Zhao
Recent advances in anomaly generation approaches alleviate the effect of data insufficiency on task of anomaly localization. While effective, most of them learn multiple large gene…
cs.CV2024
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
Ying Zhao
Anomaly localization is a practical technology for improving industrial production line efficiency. Due to anomalies are manifold and hard to be collected, existing unsupervised re…