TOWARDS ACCURATE HIGH RESOLUTION SATELLITE IMAGE SEMANTIC SEGMENTATION

Satellite image semantic segmentation, including extracting road, detecting building, and identifying land cover types, is essential for sustainable development, agriculture, forestry, urban planning, and climate change research.Nevertheless, it is still unclear how to develop a refined semantic segmentation model in an efficient and elegant way.In

Multi-hop question answering from knowledge graphs has gained a growing attention in the past few years due to its vast applications in AI.Existing approaches in this regard mostly rely on exhaustively traversing all paths in the graph until reaching a candidate answer entity, leading to high time complexity and reasoning errors when training the m