Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …

The detection of cracks is a crucial task in monitoring structural health and ensuring
structural safety. The manual process of crack detection is time-consuming and subjective to …

El sector de la manufactura utiliza metodologías de aprendizaje automático supervisado
que permiten mejorar procesos de inspección mediante la visión artificial. La inspección …

Deep learning plays an important role in crack segmentation, but most work utilize off-the-
shelf or improved models that have not been specifically developed for this task. High …

In recent years, artificial intelligence (AI) has drawn significant attention with respect to its
applications in several scientific fields, varying from big data handling to medical diagnosis …

The need for precise segmentation of tile peeling on building façades is emphasized by its
implications for efficient building maintenance, particularly in regions like Taiwan, where …

Purpose The purpose of this paper is to report on the results of an exploratory study on the
use of unmanned aerial vehicles (UAV) as a visual data collection tool in the architecture …

Large benchmarking datasets such as ImageNet COCO Cityscapes or ScanNet have
enormously promoted research in computer vision. For the domain of crack segmentation no …

The low accuracy of detection algorithms is one impediment in detecting ceramic tile's
surface defects online utilizing intelligent detection instead of human inspection. The …

Because of the significant difference between the thermal expansion coefficients of ceramic
blank and glaze, the glaze typically undergoes more pronounced shrinkage than the blank …