2023
DOI: 10.1049/itr2.12369
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Efficient dense attention fusion network with channel correlation loss for road damage detection

Abstract: Road damage detection (RDD) is critical to society's safety and the efficient allocation of resources. Most road damage detection methods which directly adopt various object detection models face some significant challenges due to the characteristics of the RDD task. First, the damaged objects in the road images are highly diverse in scales and difficult to differentiate, making it more challenging than other tasks. Second, existing methods neglect the relationship between the feature distribution and model st… Show more

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