Abstract: In the field of object detection, detecting small objects is an important and challenging task. However, most existing methods tend to focus on designing complex network structures, lack ...

1 The Heilongjiang Provincial Key Laboratory of Autonomous Intelligence and Information Processing, School of Information and Electronic Technology, Jiamusi University, Jiamusi, China 2 School of ...

A group of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have proposed SCNet3D, a new 3D object detection system, to better identify surrounding objects.

Abstract: Object detection based on images or videos is one of computer vision’s most common and practical tasks. In recent years, thanks to the development and advancement of deep learning methods, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

In the comparison of single-stage object detection methods, the mAP 50 of YOLOv7 is still 2.6% higher than that of the proposed method, but the mAP and mAP s of the proposed method are 0.5 and 3.9% ...

A comprehensive cheat sheet for JavaScript methods across different data types. This repository provides quick references for string, array, number, object and date methods in JavaScript. Each cheat ...

A team of Johns Hopkins researchers has developed a cutting-edge data science approach capable of matching observations of celestial objects taken across multiple telescope surveys, overcoming a ...