Abstract: The CenterNet recognition algorithm exhibits impressive performance in deep learning-based object recognition methods. Utilizing the DLA-34 as the backbone for object detection, it achieves ...

Face recognition is a dragnet surveillance technology and its expansion within law enforcement over the last 20 years has been marred by systematic invasions of privacy, inaccuracies, unreliable ...

According to a mid-2025 Gallup report, employee engagement is declining. With only 32% of employees saying they're actively engaged, there's a clear, critical need for better people and leadership ...

More than 250 looted objects are on display in UNESCO's Virtual Museum of Stolen Cultural Objects. UNESCO To raise awareness of the illicit trafficking of cultural heritage artifacts, from ...

Joanne Orlando receives funding from NSW Department of Education and previously from office of eSafety Commissioner. Walk into a shop, board a plane, log into your bank, or scroll through your social ...

Abstract: Accurate object attribute recognition is crucial for intelligent robots to efficiently accomplish various tasks. However, current methods suffer from limitations such as reliance on ...

Objects such as 'Oumuamua, Borisov and recently 3I/ATLAS have opened our eyes to the reality that outsiders regularly visit our solar system — and we're about to start spotting a whole lot more of ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.