LLaVA-generated captions fused with image features via dual cross-attention improve remote sensing scene classification accuracy over the paper's own simple baselines.
High-resolution satellite scene classification using a sparse coding based multiple feature combination,
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Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks
LLaVA-generated captions fused with image features via dual cross-attention improve remote sensing scene classification accuracy over the paper's own simple baselines.