A knowledge-guided loss enforces saliency map consistency between a primary and final model in multi-task learning to boost accuracy, AP, and interpretability in defect detection.
Deep learning model for imbalanced multi-label surface defect classification.Measurement Science and Technology, 33(3):035601, 2022
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Network Knowledge Prior Guided Learning for Data-Efficient Surface Defect Detection
A knowledge-guided loss enforces saliency map consistency between a primary and final model in multi-task learning to boost accuracy, AP, and interpretability in defect detection.