CGVQM is a full-reference video quality metric that predicts perceptual differences between pairs of videos. Like PSNR and SSIM, it compares a ground-truth reference to a distorted version (e.g.

The article 🌱 Patch AM: How a tiny Edmonds candy shop shaped City Hall and downtown life appeared first on Edmonds Patch.

The article 🌱 Patch AM: How $455 million in new bond money could reshape Denver appeared first on Denver Patch. Good morning ...

I actually wrote about this over a decade ago, but I found myself thinking about this once again, the fact that, in 1972, the ...

Abstract: Computer vision can provide upcoming walking environment information for lower limb-assisted robots, thereby enabling more accurate and robust decisions for high-level control. However, ...

The U.S. Navy will get two new battleships, the “largest we've ever built,” sometime in the 2030s, President Donald Trump announced on Dec. 22. Construction of the ships, designated Trump-class ...

Abstract: Road obstacles are a major contributor to traffic accidents, making their accurate detection and classification vital for road safety and infrastructure maintenance. This paper presents a ...

Abstract: Mixup is a data augmentation method which can interpolate between existing data to create new samples. By enlarging the training distribution, it reduces the risk of over-fitting and ...

A couple of months ago, OpenAI signed a deal with two top memory chip producers in an effort to power the tech company's massive, state-sanctioned Stargate project. The move was inevitably going to ...

Were forms of computers and sophisticated machining processes used in deep antiquity? Startling new evidence is leading us to some very interesting conclusions along these lines. This video is further ...

Three-dimensional (3D) meshes are a fundamental representation for objects in applications spanning computer graphics, gaming, and simulation. While convolutional neural networks (CNNs) have become ...

Abstract: Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration ...