Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

5 code implementations • 20 Mar 2019 • Domen Tabernik, Samo Šela, Jure Skvarč, Danijel Skočaj

This paper presents a segmentation-based deep-learning architecture that is designed for the detection and segmentation of surface anomalies and is demonstrated on a specific domain of surface-crack detection.

Anomaly Detection Defect Detection