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Research questionHow can industrial vision systems grade defect severity from imperfect detections while respecting ordinal levels and morphology?Severity labels have an ordered relationship, while defect morphology can determine where grading boundaries fall. Predictions from an upstream detector may also differ substantially from the clean annotated instances used during training.
AI
Computer Vision
Image & Video Processing
Machine Learning
Research Paper
Technology
Latest papersRecent research connected to this question, newest first.MAOL: Morphology-Aware Ordinal Learning for Fine-Grained Industrial Defect Severity GradingThe source concerns instance-level industrial defect severity grading and reports experiments under clean-ROI and predicted-instance settings, with morphology-related cues and noisy predicted instances. Its evidence is limited to the described inspection datasets and challenge evaluation.research paper · Sep 2, 2026
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