Search Results for author:
Found 2 papers, 1 papers with code
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision
Moreover, in other V-L downstream tasks considered, our WFH models are on par with models trained with paired V-L data, revealing the utility of unpaired data.
Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery
We postulate that such imagery could then be directly used for land cover and land use change estimation using existing frameworks, as well as for realistic visualisation of expected local change.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
