IEEE

Improving GNNs for Image Classification: Addressing Homophily Challenges

Abstract: Graph Neural Networks (GNNs) are rapidly becoming essential tools in deep learning, but their effectiveness when applied to images is often limited by challenges in graph representation.
IEEE

Open-Set Domain Adaptation for Hyperspectral Image Classification Based on Weighted Generative Adversarial Networks and Dynamic Thresholding

Abstract: Recent studies have shown that the deep domain adaptation (DA) technique has achieved remarkable results in cross-domain hyperspectral image (HSI) classification task. However, these DA ...
WYSO

A college student's perspective on using AI in class

[Maximilian Milovidov is a freshman at Columbia University and a member of TikTok's Youth Council. He used a large language model to edit this essay for length and a human to edit for content. This ...