Earth-OneVision is a unified 2B-parameter RS-MLLM supporting six modalities and nine tasks via FGVLA, SLIS, and PCMA mechanisms plus a 34M QA-pair dataset, reporting competitive or superior benchmark results versus larger models.
Enhancing remote sensing vision-language models through mllm and llm-based high-quality image-text dataset generation
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A text-guided framework for remote sensing image transmission uses low-res images and compact text to reduce data volume to 2%, with text-conditioned reconstruction achieving PSNRs of 16.36-27.41 dB on tested datasets.
citing papers explorer
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Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks
Earth-OneVision is a unified 2B-parameter RS-MLLM supporting six modalities and nine tasks via FGVLA, SLIS, and PCMA mechanisms plus a 34M QA-pair dataset, reporting competitive or superior benchmark results versus larger models.
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Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction
A text-guided framework for remote sensing image transmission uses low-res images and compact text to reduce data volume to 2%, with text-conditioned reconstruction achieving PSNRs of 16.36-27.41 dB on tested datasets.
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