Abstract: Object Recognition and Document Skew Estimation have come a long way in terms of performance and efficiency. New models follow one of two directions: improving performance using larger ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Page object model is a design pattern used in test automation where test script and locators are defined in separate classes. In this design pattern each web page( screen in case of mobile application ...

Andrew Ng’s startup LandingAI wants to make agentic AI the backbone of enterprise document processing with ADE DPT-2. (Photo by Mark RALSTON / AFP) (Photo credit should read MARK RALSTON/AFP via Getty ...

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 ...

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 ...

One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...