Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
Abstract: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
Abstract: This study presents a comparative analysis of real-time object detection models, You Only Look Once (YOLO) v5 and v8, using drone footage captured in rural agricultural scenarios. The ...
A House hearing on unidentified aerial phenomena (UAPs) stunned lawmakers when video evidence showed a U.S. drone firing a Hellfire missile at an orb off Yemen—only for the object to remain intact and ...
The project titled " Real-Time Webcam Based Compound Emotion Detection using MATLAB and Morphological Tracking " explores the concept of creation and evolution through computational modelling and ...
RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
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