2026
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026technical
Deep learning-based 3D anomaly detection methods have demonstrated significant potential in industrial manufacturing. However, many approaches are specifically designed for anomaly detection tasks, which limits their generalizability to other 3D tasks. In contrast, self-supervised point cloud models