Catur Supriyanto

Fine-Grained Pavement Crack Segmentation Using Dual-Attention Residual U-Net with ASPP and Boundary Supervision

Purpose: Fine-grained pavement crack segmentation remains challenging because cracks generally occupy a small proportion of pavement images and exhibit thin, irregular, and low-contrast structures. These characteristics create severe pixel-level class imbalance and may reduce the stability of conventional U-Net predict...