MESCIUS USA, Inc., a global provider of award-winning enterprise software development tools, is pleased to announce the Document Solutions v9 release. This release introduces many new features and ...

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...

Go to glistening-tulumba-56567c.netlify.app/personal-blog-sba to view the app in deployment; view submission source code below. Reflect on your development process ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

What is the issue with the DOM Standard? Please consider mentioning the full form of "DOM", i.e. "Document Object Model ", at least once at the start of the document. For instance, in the abstract ...

Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems, edge devices, and low-latency applications. Rather than competing in the race for scale among ...

Converting complex documents into structured data has long posed significant challenges in the field of computer science. Traditional approaches, involving ensemble systems or very large foundational ...