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.

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

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

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

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The patient segmentation process is dynamic, whereby certain life events or disease stages will push one towards a certain segment. However each segment has its own significantly different ...

Want to read, speak, or write in a new language but aren't sure where to start? These are the best language learning apps we've tested, no matter your budget, goals, or prior experience.

The University Learning Center is dedicated to providing academic support and helping The New School students build the academic skills to succeed as students.

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 ...