Abstract: Multi-modal learning, which fuses complementary information from different modalities, has significantly improved the accuracy of land cover classification, especially under adverse ...
Abstract: Traditional single-label learning assumes each instance belongs to only one category, which limits its ability to describe real-world objects with multiple semantics. Although multi-label ...
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