Abstract: Currently, most neural networks for automatic road damage detection are trained using labeled normal weather datasets, and the detection performance decreases dramatically in hazy and rainy ...

Abstract: Change detection (CD) in remote sensing (RS) imagery remains challenging due to boundary ambiguity and false alarms caused by high foreground–background similarity and insufficient ...

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With the rapid development of precision agriculture, seed germination detection is crucial for crop monitoring and variety selection. Existing fully supervised detection methods rely on large-scale ...