...Omey M. Manyar; Junyan Cheng; Reuben Levine; Vihan Krishnan; Jernej Barbič; Satyandra K. Gupta Deep learning-based image segmentation methods have showcased tremendous potential in defect detection applications for several manufacturing processes. Currently, majority of deep learning research...

... ngineering . This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government’s contributions. 30 07 2021 16 11 2021 18 11 2021 10 12 2021 smart manufacturing defect detection additive manufacturing convolutional neural networks X...

... a specific class of problems. However, these techniques do not handle noise, variations in lighting conditions, and backgrounds with complex textures. In recent times, deep learning has been widely explored for use in automation of defect detection. This survey article presents three different ways...