They are developing a Quantum Convolutional Neural Network (QCNN) architecture to enhance the performance of traditional computer vision tasks using quantum ... and classifies image data, thereby ...

What are convolutional ... neural network architecture commonly used in computer vision tasks such as image segmentation, object detection and image classification. FCNs can be trained end-to-end ...

how to select the neural-network architecture; and how synthetic data can improve convolutional-neural-network performance. The concept of a perception neural network was first described as ...

A Convolutional Neural Network (CNN ... computing systems. The architecture of a CNN comprises several specialized layers, each serving a distinct purpose in the image processing pipeline ...