“…To prove the advancement of CCSNet, this section compares CCSNet with seven SOTA professional crack segmentation networks, including the tunnel crack segmentation network CrackSegNet (Ren et al., 2020), lightweight crack segmentation network CrackFormer (Miao et al., 2021), bridge crack segmentation network BC‐DUnet (Liu et al., 2022), building crack segmentation network DCSNet (Pang et al., 2022), concrete crack segmentation network CrackW‐Net (C. Han et al., 2022), road crack segmentation network HC‐UNet++ (Cao et al., 2023), and ARD‐Unet (Yu et al., 2023). As can be seen from the results in Table 7, to make each network achieve the best training parameters, the Adam optimizer and SGD optimizer are used to do two groups of training.…”