Abstract: MultiModal Remote Sensing Object Detection (MM-RSOD ... To overcome these challenges and enhance complementarity exploration and exploitation, this paper proposes Dual Dynamic Cross-modal ...

Abstract: Dynamic multimodal optimization problems (DMMOPs) represent the multimodal optimization problems that the optimal solution changes over time. Due to the wide application of DMMOPs in reality ...

NetworKit is a growing open-source toolkit for large-scale network analysis.

Check out our comprehsensive tutorial paper Foundations and Recent Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions. Tutorials on Multimodal Machine Learning at CVPR ...

Discover how the University of Sheffield addresses key challenges in engineering with innovative EPSRC-funded project ...

These systems utilize neural networks and deep learning models ... components plays a crucial role in creating a dynamic ecosystem that enables multimodal AI to learn, adapt, and make sense ...

WASHINGTON — The U.S. Department of Transportation published on Friday a draft version of its National Multimodal Freight Network (NMFN) map, a project required by Congress in 2015 to help ...

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world ...