A new publication from Opto-Electronic Advances, DOI 10.29026/oea.2023.220049 discusses a high performance “non-local” generic face reconstruction model using the lightweight Speckle ...

Building on its advanced image reconstruction technologies, today Canon Medical Systems USA, Inc. introduces deep convolutional neural network (DCNN) ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

The answer is a technique called deep convolutional neural networks which the Super Visison algorithm used to classify the 1.2 million high resolution images in the dataset into 1000 different ...

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 ...

Now everyone—from urban planners and environmental scientists to homeowners—can access a new algorithm for tree reconstruction developed at Purdue University to see how the trees will shade an ...