TPMN: Texture Prior-Aware Multi-Level Feature Fusion Network for Corrugated Cardboard Parcels Defect Detection (IJACSA)
By extracting low-level texture priors via Canny edge detection and fusing them with multi-scale deep features, TPMN addresses the challenges of non-uniform surface textures and multi-scale defect openings in logistics parcel inspection, achieving strong sensitivity to defective packages on a self-collected cardboard-boxes dataset.