Abstract: Domain adaptive object detection (DAOD) aims to develop a detector trained on labeled source domains to identify objects in unlabeled target domains. A primary challenge in DAOD is the ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to ...

This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content 2 is the text and ...

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 ...

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 ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

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 ...

In this assignment, you will be working with four different Document Object Model (DOM) projects. Each project has a different focus and set of requirements. You will be required to complete each ...