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FG-GAN: A Fine-Grained Generative Adversarial Network for Unsupervised SAR-to-Optical Image Translation
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Large-scale rice mapping under spatiotemporal heterogeneity using multi-temporal SAR images and explainable deep learning
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SAR target recognition through adaptive kernel sparse representation model based on local contrast perception
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Current research and prospects of federated language large models in the medical field
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Privacy-Preserving Federated Learning through Clustered Sampling on Fine-Tuning Distributed non-iid Large Language Models
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Current research and prospects of federated language large models in the medical field
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Federated Large Language Model: Solutions, Challenges and Future Directions
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EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
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RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
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Integrating LLMs in the Engineering of a SAR Ontology
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