A vision-language grounded framework generates and evaluates synthetic remote sensing data, releasing ARAS400k where augmented training outperforms real-data baselines for segmentation and captioning.
Synthetic generation of multidimensional data to improve classification model validity.ACM Journal of Data and Information Quality, 15(3):1–20, 2023
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Grounding Synthetic Data Generation With Vision and Language Models
A vision-language grounded framework generates and evaluates synthetic remote sensing data, releasing ARAS400k where augmented training outperforms real-data baselines for segmentation and captioning.