In recent years, the field of computer vision has witnessed a remarkable transformation with the introduction of Convolutional Neural Networks (CNNs). These deep learning models have ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

Take, for example, image recognition, which relies on a particular type of neural network known as the convolutional neural network (CNN) — so called because it uses a mathematical process known ...

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.

Computer vision is what powers a bar code scanner’s ability to “see” a bunch of stripes in a UPC. It’s also how Apple’s Face ID can tell whether a face its camera is looking at is yours.

The present state of computer vision technology. Computer vision technology of today is powered by deep learning algorithms that use a special kind of neural networks, called convolutional neural ...

Deep convolutional neural networks (DCNN) ... For example, the return gutters ... Research identifies key weakness in modern computer vision systems. Jul 30, 2018.

They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum mechanics principles.