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 ...

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 ...

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 ...

Abstract: Navigating and detecting obstacles accurately in harsh environments like mines, disaster zones, or remote areas poses a significant challenges due to low visibility, rugged terrain, 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 ...