Kamal M. Othman

EGONet: edge guided omni-directional attention with multi-scale bilateral feature integration for surface defect detection

Surface defect segmentation (SDS) is challenging in automated inspections due to the high variability of defects amid complex metallic textures. The defects show significant variations in size, shape, contrast, and spatial distribution. Existing segmentation methods struggle to jointly model fine boundary cues, omni-di...