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Monocular 3D object detection is an essential task in computer vision, and it has several applications in robotics and virtual reality. However, 3D object detectors are typically trained in a fully ...

'Space object' crashes into remote Kenyan village Link Copied! A huge, red-hot object fell from the sky into a Kenyan village, according to local residents cited by the country’s national broadcaster, ...

Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap. Repository for ...

Abstract: Currently, Faster R-CNN serves as the fundamental detection framework in the majority of few-shot object detection algorithms. However, due to limited samples per class, the Faster R-CNN’s ...

Less than six months after ChatGPT-creator OpenAI unveiled an AI detection tool with the potential to help teachers and other professionals detect AI generated work, the company has pulled the feature ...

Astronomers first discovered quasars, considered to be the brightest and most powerful objects in the universe, 60 years ago — but they didn’t understand their origin. Now, scientists think they have ...

Abstract: Convolutional neural network (CNN)-based object detection methods have aroused widespread interest in the remote sensing images field, which usually achieve satisfactory results. However, ...

Video surveillance system is the most important issue in homeland security field. It is used as a security system because of its ability to track and to detect a particular person. To overcome the ...