Nighttime semantic segmentation is crucial for applications like autonomous driving, facing challenges due to illumination conditions. Existing UDA methods struggle with dynamic and small objects. The proposed method refines these objects at label and feature levels, outperforming prior arts in nighttime segmentation.
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by Jingyi Pan,S... alle arxiv.org 03-15-2024
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