Adaptive Defect Detection for 3-D Printed Lattice Structures Based on Improved Faster R-CNN
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DOI: 10.1109/tim.2022.3200362
Abstract: To detect the internal small defects of 3-D printed lattice structural samples, this study proposes an adaptive defect detection method based on a faster region-based convolutional neural networks (Faster R-CNNs) structure. A $K$ -medoids clustering… read more here.
Keywords: printed lattice; adaptive defect; faster cnn; defect detection ... See more keywords