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 ...

We compare two methods to elicit graphs from people that represent the causal structure of common artifacts. One method asks participants to focus narrowly on local causal relations and is based on ...

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.

The micro-library of Node.js stream components for creating custom JSON processing pipelines with a minimal memory footprint. It can parse JSON files far exceeding available memory streaming ...

ABSTRACT: One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Researchers developed a new 3D method that can be used to track fast-moving objects at unprecedented high speeds. The optical setup for their experiments is shown.Zihan Geng/ Tsinghua University ...