M. Katinić

It is shown that deep learning architectures, including convolutional neural networks, object detection and segmentation models, hybrid frameworks, and transfer learning, can significantly improve the speed, consistency, and objectivity of weld inspection while achieving high detection performance across different NDT modalities.