As the number one building material, concrete is of fundamental importance in civil
engineering. Understanding its failure mechanisms is essential for designing sustainable …

Sustainability is an important topic in the field of materials science and civil engineering. In
particular, concrete, as a building material, needs to be of high quality to ensure its …

The segmentation of abnormal regions is vital in smart manufacturing. The blurring sauce-
packet leakage segmentation task (BSLST) is designed to distinguish the sauce packet and …

Training defect detection algorithms for visual surface inspection systems requires a large
and representative set of training data. Often there is not enough real data available which …

Industrial anomaly detection and localization are essential for maintaining product quality
and safety in manufacturing. However, these tasks become significantly more challenging in …

Automation of inspection for quality control is needed to overcome the errors and delays
inherent in manual processes. Machine learning methods have the potential to greatly …

Abstract Machine learning offers attractive solutions to challenging image processing tasks.
Tedious development and parametrization of algorithmic solutions can be replaced by …

Defect segmentation is crucial for quality control in advanced manufacturing, yet data
scarcity poses challenges for state-of-the-art supervised deep learning. Synthetic defect data …

Learning models from synthetic image data rendered from 3D models and applying them to
real-world applications can reduce costs and improve performance when using deep …

The appearance of surface impurities (eg, water stains, fingerprints, stickers) is an often-
mentioned issue that causes degradation of automated visual inspection systems. At the …