Spread the loveIn an increasingly interconnected world, simply memorizing facts isn’t enough. Our children need more than rote learning; they need to understand complex global issues, think critically ...

Abstract: In recent years, more and more scholars pay attention to the problem of active object tracking, which has a wide range of application scenarios. Active tracking of non-cooperative objects in ...

While recent deep learning-based object detection has achieved great success in various fields, it remains challenging to find tiny objects in aerial imagery on-the-fly using mobile devices. Since ...

The 3D scan of a mask fragment matches up with the scan of a different well-preserved mask. Carlo Rindi Nuzzolo Today the world of Egyptology faces a silent crisis – not of looting, although that ...

Discover UCL’s Grant Museum of Zoology, Petrie Museum of Egyptian and Sudanese Archaeology, UCL Art Museum and UCL Pathology Museum, other UCL collections and an exciting exhibitions and events ...

We select 50 videos from BDD100k tracking set as our training and validation videos. We put the entire dataset on GoogleDrive. The Refer-BDD are structured as below. 2025.6.8 Release AR-MOT benchmarks ...

Nicole is a professional journalist with 20 years of experience in writing and editing. Her expertise spans both the tech and financial industries. She has… Artificial intelligence (AI) is changing ...

A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a ...

Idowu took writing as a profession in 2019 to communicate his programming and overall tech skills. At MUO, he covers coding explainers on several programming languages, cyber security topics, ...

Abstract: This paper focuses on addressing the visual tracking problem using learning-based methods for object tracking tasks. This problem contains a major difficulty, i.e., how to acquire a ...

A design contest for object detection with deep learning on embedded small devices leads to winning hardware–software co-design approaches. Object detection and tracking is actively explored in ...

The ability to perceive visual objects with various types of transformations, such as rotation, translation, and scaling, is crucial for consistent object recognition. In machine learning, invariant ...