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.
Peeking inside the black-box: a survey on explainable artificial intelligence (xai).IEEE access, 6:52138–52160
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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.