2 papers
cs.CV2026
MATCH: Flow Matching for Multi-View Anomaly Detection
Mathis Kruse, Melissa Schween, Bodo Rosenhahn
Detecting anomalies in industrial objects is an important topic for increasing production efficiency. More complex objects often require the analysis of several view points, which…
cs.CV2026
BUSSARD: Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection
Melissa Schween, Mathis Kruse, Bodo Rosenhahn
We propose Bijective Universal Scene-Specific Anomalous Relationship Detection (BUSSARD), a normalizing flow-based model for detecting anomalous relations in scene graphs, generate…