This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

In a world facing ecological exhaustion and spatial saturation, the act of building has come to represent both creation and consumption. For decades, architectural progress was measured by the new: ...

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 ...

Vernacular architecture can be defined as a construction method specific to a region with influences from geography, climate, and available materials. Such structures are built with knowledge passed ...

Real-time image classification using a pre-trained ResNet18 model. Upload and preview images directly in the browser. Modular and extensible architecture for adding new models or classes. Modern, ...

The idea of using the Apple II home computer for digital photography purposes may seem somewhat daft considering that this is not a purpose that they were ever designed for, yet this is the goal that ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

When 3D-printed architecture first materialized, many assumed that it would lead to widespread affordable housing, but, excepting some housing for homeless people, this hasn't been the case in the USA ...