Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...

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 ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

Artificial intelligence models don’t have souls, but one of them does apparently have a “soul” document. A person named Richard Weiss was able to get Anthropic’s latest large language model, Claude ...

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 ...

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 ...

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 ...

OpenAI model names have been confusing, but the company is finally taking steps to make it easier for users to understand the different ChatGPT models. OpenAI quietly posted an article titled "ChatGPT ...