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SkyEyeGPT SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model Arxiv2024 Paper link EarthGPT EarthGPT: A Universal Multi-modal Large Language Model ...

Abstract: With remote sensing (RS) images’ resolution increasing, a single scene label cannot adequately represent RS scenes’ contents. Therefore, multi-label remote sensing scene classification ...

Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset Diffusion Transformer Decoder code Pix4Cap Pixel-Level Change Detection ...

A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and remove plastic debris from freshwater environments like the ...

Muscle and bone diseases. MedlinePlus. Diagnostic imaging. Institute for Quality and Efficiency in Health Care. Understanding tests used to detect bone problems. Johns Hopkins Medicine. Joint ...

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The group focuses on observing and modeling coastal processes including beach evolution, cliff erosion, and nearshore waves. CW3E provides water cycle science, technology and outreach to support ...

Offered by the Department of Earth Sciences at The Faculty of Science ...

Automatic Approach,Bounding Box,Box Regression,Candidate Regions,Candidate Samples,Classification Branch,Data Augmentation,Dense Prediction,Detection Task,Focal Loss,Global Learning,Global ...

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Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States Center of Biomodular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas ...