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The intelligent monitoring and diagnosis of steel defects plays an important role in improving steel quality, production efficiency, and associated smart manufacturing. The application of the bio-inspired algorithms to mechanical engineering problems is of great significance. The split attention network is an improvement of the residual network, and it is an improvement of the visual attention mechanism in the bionic algorithm. In this paper, based on the feature pyramid network and splitdoi:10.3389/fbioe.2021.810876 pmid:35096796 pmcid:PMC8793735 fatcat:kv2nywwoyfc63cffwnbnjzqcde