Abstract: We introduce dual attentive U-Net (DAU-Net), a deep learning model for semantic segmentation designed to tackle the challenges of multiclass imbalanced datasets with limited samples. Our ...

Jan. 27 (UPI) --The net growth of the U.S. population slowed to the lowest point since the pandemic due to a decrease in net migration in 2025, according to a census report released Tuesday. The ...

PyTorch team unveils framework for programming clusters Monarch, as it’s called, lets you program entire clusters of machines in parallel with the same directness and power as the APIs used in PyTorch ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Employers added only 22,000 jobs in August, and the unemployment rate rose slightly to 4.3 percent. Revised data also showed that employment fell by 13,000 jobs in June, the first net loss since ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...

Abstract: U-Net networks are a new type derived from fully convolutional networks (FCNs), which perform excellently in image segmentation, noise suppression, and other aspects. However, due to their ...