Adaptive Universal Pavement Distress Detection Based on Transfer Learning and Deep Learning
Experimental results demonstrate that while performance on single-pavement datasets is limited by data imbalance, training on the proposed universal pavement distress dataset significantly improves generalization, achieving 82%–89% mean average precision across multiple distress types and enabling robust detection unde...