A context-aware generative model synthesizes crack growth patterns with directional propagation and learned morphology to augment training data and improve crack segmentation performance.
Deep learning for auto- matic vision-based recognition of industrial surface defects: A survey
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CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation
A context-aware generative model synthesizes crack growth patterns with directional propagation and learned morphology to augment training data and improve crack segmentation performance.