Along with the rapid development of computer vision, unmanned aerial vehicle (UAV) technology, and autonomous driving, the precise acquisition of coordinate ...

Contextual object detection refers to methods that go beyond isolated recognition of objects by integrating information about their surroundings, inter-object relationships and scene semantics. Early ...

A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while keeping inference fast enough for edge computing.

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network ...

The system is designed to work like a roadside shopkeeper. When a customer places an order such as 1kg of apples, cameras ...

Imagine a factory floor. A digital monitor is mounted beside a robotic work cell that displays a live feed of a deep container filled with randomly oriented mechanical components. When a new bin ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...