Abstract: Accurately segmenting region boundaries in complex and high resolution remote sensing scenes, with often a large number of relatively small structures and objects remains a challenge; since ...

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Customers can accelerate the reduction of their legacy tech debt and shift valuable resources toward innovation. We are introducing new agentic capabilities in AWS Transform to accelerate organization ...

This repository contains the source code and additional materials associated with the paper titled "A Distance Transform Based Loss Function for the Semantic Segmentation of Very High Resolution ...

Zach began writing for CNET in November, 2021 after writing for a broadcast news station in his hometown, Cincinnati, for five years. You can usually find him reading and drinking coffee or watching a ...

Abstract: Euclidean distance transforms are fundamental in image processing and computer vision, with critical applications in medical image analysis and computer graphics. However, existing ...

We asked a group of business leaders to consider how businesses can benefit from artificial intelligence. By The New York Times This feature is part of a series called Turning Points, in which writers ...

1 Kpro System, Namyangju-si, Republic of Korea 2 Department of Fire Service Administration, Chodang University, Muan-gun, Republic of Korea The use of autonomous Unmanned Aerial Vehicles (UAVs) has ...

Using a fork of the Nuitka Python compiler, py2wasm converts Python programs to Wasm, allowing them to run without interpreter overhead. Introduced April 18, py2wasm addresses a situation in which the ...

Coding solutions to multiple image processing problems like distance calculation, noise, contrast, and compression using different techniques like Distance Transform, Low-Pass Filters, Morphological ...