Abstract: Image alignment is a critical step in the image stitching process. Traditional image alignment methods typically use uniform grid transformations or homography transformations to achieve ...

Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

Abstract: In recent years, deep neural network tasks have increasingly relied on high-quality image inputs. With the development of high-resolution representation learning, the task of image dehazing ...

Intelligent image cropping tool with multiple detection methods including You Only Look Once (YOLO), DEtection TRansformer (DETR), Real-Time DEtection TRansformer (RT-DETR), Roboflow DETR (RF-DETR), ...

University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, a breakthrough that could advance cancer detection, disease monitoring, ...

For the fastest way to join Tom's Guide Club enter your email below. We'll send you a confirmation and sign you up to our newsletter to keep you updated on all the latest news. By submitting your ...

A former Senior Publishing Editor on the Dow Jones Newswires team at The Wall Street Journal, Aaron earned a Bachelor's degree in Economics from the University of Michigan and a Master's in Journalism ...

Use of voluntary alignment attribution by Next Generation Accountable Care Organization (ACO) participants was limited. The authors highlight the reasons and describe organizational use cases via a ...

Text-to-image (T2I) generation has evolved to include subject-driven approaches, which enhance standard T2I models by incorporating reference images alongside text prompts. This advancement allows for ...

Align Technology, known for Invisalign, has grown significantly since its founding in 1997, with products sold in over 100 countries. The company's innovative clear aligners and robust software ...