EarthSynth uses masked text-guided diffusion with counterfactual copy-paste composition and CLIP filtering to synthesize labeled remote sensing data that improves downstream classification, detection, and segmentation.
Addressing class imbalance in remote sensing using deep learning approaches: a systematic literature review,
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EarthSynth: Generating Informative Earth Observation with Diffusion Models
EarthSynth uses masked text-guided diffusion with counterfactual copy-paste composition and CLIP filtering to synthesize labeled remote sensing data that improves downstream classification, detection, and segmentation.