Defect segmentation is a small branch of semantic segmentation that reduces multiple semantics into defect and nondefect, which is crucial for accurately distinguishing defect and non-defect regions.

In this experiment, we propose a U-Net defect segmentation network based on the improved CBAM attention mechanism, and improve the accuracy of defect segmentation through the attention mechanism. The ...