Conditional Pavement Crack Data Generation for Selective Data Augmentation Using GANs
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DOI: 10.1109/tits.2025.3597944
Abstract: The adoption of Deep Learning techniques for automated crack detection is hindered by the lack of high-quality, balanced training datasets, a common issue resulting in detection bias and overfitting in model training. Data imbalances, where… read more here.
Keywords: type disp; pavement crack; crack; augmentation ... See more keywords