As an indispensable material in modern industry, steel requires real-time surface defect detection to ensure high-quality manufacturing. However, steel surface defects present significant challenges due to their tiny size, diverse morphology, and uneven feature distribution. To address these challenges and satisfy the balance between accuracy and detection speed, an efficient steel strip surface defect detection network, ACPP-Net, is proposed in this study. Firstly, Adaptive Ghost Convolution, the LM-block, is int…