Semantic segmentation of remote sensing imagery (RSI) is critical in many domains due to the diverse landscapes and different sizes of geo-objects that RSI contains, making semantic segmentation ...
Semantic segmentation plays a crucial role in interpreting remote sensing images, especially in high-resolution scenarios where finer object details, complex spatial information and texture structures ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
High-Definition(HD) mapping is in many applications from autonomous driving to infrastructure monitoring, and urban management essential for the understanding of complex urban infrastructure with ...
With the continual evolution of modern technology systems and devices such as self-driving cars, mobile phones, and security systems that include assistance from cameras, deep learning models are ...
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DGIST-MIT team tops AI autonomous driving challenge
A joint research team from Daegu Gyeongbuk Institute of Science and Technology (DGIST) and the Massachusetts Institute of Technology (MIT) in the U.S. won first place in an international competition ...
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