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AutoEncoding Tree for City Generation and Applications
Based on this dataset, we propose AETree, a tree-structured auto-encoder neural network, for city generation.
Segmenting across places: The need for fair transfer learning with satellite imagery
This work highlights the need to conduct fairness analysis for satellite imagery segmentation models and motivates the development of methods for fair transfer learning in order not to introduce disparities between places, particularly urban and rural locations.
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