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Unsupervised pavement anomaly detection via conditional diffusion model and domain adaptive feature selection
1 INTRODUCTION Pavement distress, including cracks, potholes, and surface degradation, are critical factors that compromise road longevity and driver safety. Accurate detection of these distresses is one of the key tasks in road management and maintenance. Early and precise identification of pavement defects can help in prioritizing maintenance efforts, preventing accidents, and extending the overall lifespan of roads.
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