Abstract: Contrastive learning is a promising paradigm in the multimodal few-shot domain, leveraging images captured from different sensors as diverse perspectives of the same ground objects. However, ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

With temperatures dropping and dusk arriving early, the firepit section of my garden has been on my mind. It’s a simple setup. Eight colorful Adirondack chairs are arranged in a circle around a ...