DeepGeneralizationZhiyong ZhouLast updated on Jun 24, 2023Go to Project SiteAI ICRelatedGeoTextSpaGAN: A spatially-aware generative adversarial network for building generalization in image mapsReasoning cartographic knowledge in deep learning-based map generalization with explainable AIMove and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural networkLocation reference recognition from texts: A survey and comparisonPublicationsSpaGAN: A spatially-aware generative adversarial network for building generalization in image mapsThis research proposes a spatially-aware generative adversarial network for building generalization in image maps, SpaGAN. It enhances the capacity to generalize buildings of varying sizes and shapes.Zhiyong Zhou, Cheng Fu, Robert WeibelProject DOIReasoning cartographic knowledge in deep learning-based map generalization with explainable AIThis research investigates what cartographic knowledge have been learned by deep learning models in map generalization.Cheng Fu, Zhiyong Zhou, Robert WeibelProject DOIMove and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural networkThis research proposes a multi-task learning method with graph convolutional neural networks. The proposed method formulates the building simplification problem as a joint task of node removal classification and node movement regression.Zhiyong Zhou, Cheng Fu, Robert WeibelProject DOI
