Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...
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 ...
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 ...
The model, Cube 3D, creates 3D models from a text prompt. The model, Cube 3D, creates 3D models from a text prompt. is a senior reporter covering technology, gaming, and more. He joined The Verge in ...
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 ...
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A closer look at how Sui’s object-centric model and the Move language can improve blockchain scalability and smart contract development. The Sui blockchain has emerged as a novel layer-1 (L1) protocol ...