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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 ...

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 ...

Abstract: In practical application scenarios, the objects to be detected are characterized by a large number, irregular shape, non-uniform size and dense distribution, etc. Traditional object ...

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 ...

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 ...

The number of academic papers released daily is increasing, making it difficult for researchers to track all the latest innovations. Automating the data extraction process, especially from tables and ...

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 ...

In recent decades, image processing and computer vision models have played a vital role in moving object detection on the synthetic aperture radar (SAR) images. Capturing of moving objects in the SAR ...