Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Deep neural networks are revolutionizing how images and video are processed, enabling applications once thought impossible.

A convolutional layer is defined by number of input and output values but also a kernel value. Loosely speaking, the kernel value controls how many pixels to look at as a group. The demo convolutional ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

In this study, we propose a deep convolutional neural network model, U-Net, for automatic pixel-based detection of red tide occurrence from the spectral images captured by GOCI. We construct two ...

This self-supervised robotic system autonomously maps semiconductor properties, completing over 125 precise measurements per ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...