Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...

Expert DIYer April Wilkerson frames a loft floor using faster and stronger methods for better results. What Jimmy Kimmel said on his first night back after suspension over Charlie Kirk comments Trump ...

John Malone helped create the modern media industry over the last half century. In a new memoir, “Born to Be Wired,” he looks back on what he has wrought. John Malone, a captain of the media industry ...

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Background Facioscapulohumeral muscular dystrophy 1 (FSHD1) is one of the most common autosomal dominant neuromuscular diseases. Genetic diagnosis of FSHD1 remains a challenge because of the long ...

A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...

Darryl Z. Seligman is supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-2303553. This research award is partially funded by a generous gift of Charles Simonyi to ...