A new book by a University of Utah philosophy professor is "so exuberant and readable that the depth and seriousness of its ...
Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
Abstract: Cinematic scene classification and shot border recognition are two important tasks that are used to automate the analysis and division of video content. This makes it easier to find and ...
LITTLE ROCK, Ark. - Arkansas work zone cameras will now be able to detect when drivers are on their cell phone or other handheld devices, the state Department of Transportation (ARDOT) announced ...
Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...
Abstract: Identification of PCB board defects early in the manufacturing process is crucial, as PCB quality control plays an important role in the electronics manufacturing industry. Defective PCBs ...
Abstract: Object detection in remote sensing images (RSIs) plays an important role both in civil and military fields. Currently, many object detection algorithms in RSIs have shown the excellent ...
Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. By mid-October, the Democrats’ chances ...
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