Abstract: This work presents a progressive image vectorization technique that reconstructs the raster image as layer-wise vectors from semantic-aligned macro structures to finer details. Our approach ...

Abstract: Hyperspectral images (HSIs) can provide rich spectral–spatial information that has been widely utilized in many fields, such as national defense, mineralogy, and agriculture. Most of the ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

In Sarah Yuska’s sixth-grade science class at Monocacy Middle School in Frederick, Maryland, students are just finishing up learning about body systems—respiratory, circulatory, skeletal, and so on.

Image vectorization has emerged as a pivotal technique in digital imaging, offering a means of converting raster images into scalable, resolution-independent vector formats. This process leverages ...

In the quickstart tutorial for the latest build (0.5.3 as of 2025-Mar-24), the auto vectorization examples with vmap contain asserts that produce an error when run ...

You may have come across the term 'gaslighting' while casually scrolling on TikTok or in an Instagram infographic, and wondered if it's happening you. The origins of the word 'gaslight' come from a ...

Microaggressions may create a hostile environment for people in historically marginalized groups — especially in the healthcare industry. Microinsults, microassaults, and microinvalidations are the ...

I'm using diffrax in combination with vmap in my project. This works like a charm. As my input data which I'm using for mapping gets bigger and bigger I want to enable parallel computing. As I wan't ...