Mathis Kruse

MATCH achieves state-of-the-art anomaly detection and segmentation performance while running efficiently on consumer-level hardware, revolutionizing multi-view analysis in industrial applications.

Normalizing flows can flag anomalous relationships in scene graphs with 10% better accuracy and 5x faster speed than existing methods, while also exhibiting superior robustness to semantic variations.