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Semantic change detection of roads and bridges: A fine-grained dataset and multimodal frequency-driven detector | Synapse
March 3, 2026
Semantic change detection of roads and bridges: A fine-grained dataset and multimodal frequency-driven detector
QS
Qinji Shu
Anhui University
SC
Sibao Chen
Changjiang Water Resources Commission
YW
Y. N. Wang
University of Science and Technology of China
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Key Points
Effective semantic change detection improves monitoring of roads and bridges, impacting urban planning.
The analysis detected significant changes of over 20% in structural conditions across observed infrastructure types.
This observational analysis utilized a multimodal frequency-driven approach to capture nuanced changes in infrastructure.
Findings highlight the need for enhanced algorithms to monitor changes proactively in civil infrastructure systems.
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Shu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75e53c6e9836116a28ce4
https://doi.org/https://doi.org/10.1016/j.patcog.2026.113191