Surface defect detection with machine learning has become an important tool in industries
and a large field of study for researchers or workers in recent years. It is necessary to have a …

Semantic segmentation in 3D meshes is the classification of its constituent element (s) into
specific classes or categories. Using the powerful feature extraction abilities of deep neural …

The recent enthusiasm for open-world vision systems show the high interest of the
community to perform perception tasks outside of the closed-vocabulary benchmark setups …

Deep learning (DL) inspired models have achieved tremendous success in locating target
weed species through bounding-box approach (single-stage models) or pixel-wise semantic …

Pests significantly negatively affect product yield and quality in agricultural production.
Agricultural producers may not accurately identify pests and signs of pest damage. Thus …

BIM is a powerful tool for the construction industry as well as for various other industries, so
that its use has increased massively in recent years. Laser scanners are usually used for the …

Accurately identifying soybean pods is a crucial prerequisite for retrieving multi-phenotypic
traits (such as number of pods per plant, number of seeds per pod, pod size, pod color, and …

The use of refuse-derived fuel (RDF) in cement kilns offers a multifaceted approach to
sustainability, addressing environmental, economic, and social aspects. By converting waste …

Text line segmentation is a necessary preliminary step before most text transcription
algorithms are applied. The leading deep learning networks used in this context (ARU-Net …

Manual pruning of radiata pine trees presents significant safety risks due to their substantial
height and the challenging terrains in which they thrive. To address these risks, this research …