Metallic surface defect recognition network based on global feature aggregation and dual context decoupled head

Kefei Qian, Lai Zou, Zhiwen Wang, Wenxi Wang

Abstract: Highlights•A global feature fusion and redistribution (GFAR) module is proposed to strengthen cross-scale feature interactions.•A global positional attention mechanism (GPAM) is integrated into the GFAR to suppress background regions.•A dual context decoupled (DCD) head was constructed to achieve spatial disentanglement for different tasks.