Abstract: Knowledge distillation (KD) has become a cornerstone for compressing deep neural networks, allowing a smaller student model to learn from a larger teacher model. In the context of semantic ...
Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
Abstract: Multimodal remote sensing data substantially enhance semantic segmentation accuracy by providing complementary information across sensing modalities. However, fully exploiting and ...
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