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.
Whole surface defect detection method for bearing rings based on machine vision.Measurement Science and Technology, 34(1):015017, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.