Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel (opens in new tab)

Accurate and efficient salient object detection (SOD) of strip-steel surface defects plays a critical role in maintaining product quality in modern industrial manufacturing. However, existing SOD methods often struggle to balance detection accuracy with inference efficiency, especially when handling complex defect patterns in real-time production environments. To address this challenge, we propose a novel framework named Multi-Scale Fusion Convolution Network with Progressive Dilation (MSFNet...