Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

Abstract: Satellite image classification is a crucial component in remote sensing applications, facilitating the automated analysis of land cover and land use patterns. This research explores the ...

MedicalPatchNet is a self-explainable deep learning architecture designed for chest X-ray classification that provides transparent and interpretable predictions without relying on post-hoc explanation ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Organizations that track the material are reporting a surge in A.I. images and videos, which are threatening to overwhelm law enforcement. By Cecilia Kang Cecilia Kang has covered child online safety ...

Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...

Artificial intelligence is becoming an undeniable presence in our daily lives. It teaches, generates content, and disrupts the fragile boundaries—both visual and imaginative—that once governed our ...

Abstract: Image classification is widely used in remote sensing detection, medical diagnosis and other fields. By incorporating and improving various deep learning algorithms, research on image ...

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...