The YuNet successfully detects 619 faces out of approximately 1 000 faces reported. The undetected face contains only a few pixels, is blurred and can not be recognized by human eyes. They can be ...

When designing computer vision technology, there's a real fork in the road as to whether a company should use facial data for ...

Please provide your email address to receive an email when new articles are posted on . Facial identity discrimination accuracy decreased by 20.4% under low luminance for those with central vision ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

The Computer Vision and Pattern Recognition Conference (CVPR) is the preeminent computer vision event for new research in support of artificial intelligence (AI), machine learning (ML), augmented, ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...