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.
The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges.Future Internet, 15(8): 260, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.