CAM-Threshold-Guided Weakly Supervised Lesion Segmentation and Relative Lesion-Burden Stratification of Wheat Stripe Rust Using CF2- WRD and Light-UNet
This paper presents a Grad-CAM-guided weakly supervised framework that leverages a dual-branch classifier (CF2-WRD) to generate pseudo-labels for a compact Light-UNet, enabling accurate wheat stripe rust lesion segmentation and relative burden stratification from 34,694 image-level labeled images without requiring dense pixel-level annotations.