3D object detection is a fundamental yet critical task for autonomous driving. In this paper, we investigate a novel self-distilling paradigm by proposing Self-distilling Introspective Data (SID) to ...

Increasing research attention has been attracted to automatic plug-in charging in an unmanned and dangerous environment. In this work, we develop an object detection solution based on deep learning on ...

Early-stage osteoarthritis may present with subtle symptoms such as joint stiffness, mild pain after activity, or reduced flexibility—signs that are frequently overlooked or mistaken for temporary ...

Professor Levin directs both the Allen Discovery Center and the Center for Regenerative and Developmental Biology at Tufts University in Massachusetts. His lab is unusual for the field of biology, a ...

Bored of wearing a summer dress on repeat? A skirt promises to be just as easy and breezy. And, given the number of different styles we spotted on the spring/summer 2025 runways, it is likely to earn ...

Contribute to ak22137/Object-Detection--Unity development by creating an account on GitHub.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that ...

An advanced artificial intelligence (AI) technology has been developed that can extract three-dimensional (3D) spatial ...

RealSense has cut the cord tying it to Intel Corp, where the 3D camera company was born, with $50 million in early-stage ...

After a shoulder injury has been treated, patients are often left with a feeling of insecurity—many of them report that their ...