... be ambiguous. The variation in the shapes and appearances of defects also poses difficulty in accurately segmenting defects. This article describes an automatic defect segmentation method using U-Net-based deep convolutional neural network (CNN) architectures. Several models of U-Net variants are trained...

... and manufacturing. This paper studies the use of multi-view convolutional neural network (MVCNN) algorithm enhanced by the addition of engineering metadata, for classification and retrieval of 3D computer-aided design (CAD) models. The proposed algorithm (MVCNN++) builds on the MVCNN algorithm with the addition...