Going ahead, the team aims to explore additional deep learning algorithms for 3D object detection, recognizing the current focus on 2D image development. In summary, this groundbreaking study could ...

Autonomous vehicles hold the promise of tackling traffic congestion, enhancing traffic flow through vehicle-to-vehicle communication, and revolutionizing the travel experience by offering comfortable ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

Researchers have developed a deep learning model with channel-wise attention to improve object detection in Renaissance paintings, focusing on faces and hands across multiple styles. By integrating a ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...