Abstract: In the dynamic field of remote sensing images (RSIs), the challenge of object scale variability and sensor resolution disparities is formidable. Addressing these complexities, we have ...

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 ...

ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object Model, designed to streamline digital data exchange ...

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 ...

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: At present, object detection is a crucial technology, which plays an indispensable role in the field of object recognition, such as garbage detection conducted by unmanned boats in cleaning ...

Meta has introduced SAM 2, the next generation of its Segment Anything Model. Building on the success of its predecessor, SAM 2 is a groundbreaking unified model designed for real-time promptable ...

Today we’re introducing the Segment Anything Model 2 (SAM 2), the first unified model that can identify which pixels belong to a target object in an image or video. SAM 2 can segment any object and ...