Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
The invention "Deep-learning method for multi-object tracking from video" was granted a utility patent by the United States Patent and Trademark Office (USPTO).
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
3I/ATLAS is only the third interstellar object ever observed traveling through the solar system, following 1I/'Oumuamua in 2017 and 2I/Borisov in 2019. Each encounter has sparked fascination—and ...
Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...
Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion
Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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