JSSFF improves remote sensing image captioning by fusing structural edge details with semantic features in an encoder-decoder model and using fairness-based beam search, outperforming baselines on quantitative and qualitative measures.
Unveiling the power of con- volutional neural networks: A comprehensive study on remote sensing image captioning and encoder selection
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JSSFF: A Joint Structural-Semantic Fusion Framework for Remote Sensing Image Captioning
JSSFF improves remote sensing image captioning by fusing structural edge details with semantic features in an encoder-decoder model and using fairness-based beam search, outperforming baselines on quantitative and qualitative measures.