Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive ...

Semantic segmentation (SS) and height estimation (HE) are two critical tasks in remote sensing scene understanding that are highly correlated with each other. To address both the tasks simultaneously, ...

In this article, we propose an image coding for machines (ICMs) paradigm based on contrastive learning in a fully supervised manner to boost semantic segmentation of compressed RSIs.

To address these challenges, we propose AffiGrapher, a physics-driven graph neural network that integrates a physics-informed graph architecture with contrastive learning. Incorporating multiple RNA ...

In this study, we develop a generic hierarchical contrastive learning framework, coined HiCLR, to integrate domain knowledge into data-driven chemical reaction representation learning.