The output prediction can be used by perception functions to understand the presence and spatial location of an object in an image. Each Isaac ROS Object Detection package is used in a graph of nodes ...

Abstract: Object detection is a fundamental procedure in the interpretation of remote sensing images. In large-scale remote sensing images, it is common to observe that the interesting objects only ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

The Missile Defense Agency has released a sources sought notice for the development of the Advanced Object Classification, or AOC, 1.1 software upgrade. According to the notice published on SAM.gov ...

Last month, astronomers made an exciting discovery, observing an interstellar object — only the third ever observed — hurtling toward the center of the solar system. The object, dubbed 3I/ATLAS, has ...

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 ...

Abstract: Few-shot object detection (FSOD) addresses the challenge of limited labeled data by enabling detectors to learn from minimal annotations. Recent work on image–text fusion has shown promise ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China With the growing demand for marine surveillance and resource management, accurate ...