Abstract: This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for ...
S3OD is a large-scale fully synthetic dataset for salient object detection and background removal, with 140K high-quality images generated using diffusion models. Our model, trained on large-scale ...
If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 free Excel tutorials. Bill "MrExcel" Jelen is the author of 67 books about ...
Pamphlet of an exhibition held Sept. 11-Nov. 27, 2011 at Dorsky Gallery Curatorial Programs, Long Island City, N.Y. "Lida Abdul, Andreas Fogarasi, Jonggeon Lee, Julie Mehretu, Jason Middlebrook, ...
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 ...
This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...
Forward-looking sonar object detection plays a vital role in marine applications such as underwater navigation, surveillance, and exploration, serving as an essential underwater acoustic detection ...
Abstract: Real-time object detection in Unmanned Aerial Vehicle (UAV) videos remains a significant challenge due to the fast motion and small scale of objects. Existing streaming perception models ...
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