Abstract: Indoor object detection is crucial for robots to navigate properly. This study integrates YOLOv5s, a lightweight and real-time object detection model, with Gradient-weighted Class Activation ...

While scouring images from the James Webb Space Telescope, astronomers spotted Capotauro, "one of the most puzzling discoveries" to date. When you purchase through links on our site, we may earn an ...

Abstract: Object detection underwater is one of the most important tasks in various applications: marine biology, environ- mental monitoring, and underwater exploration. In this paper, we discuss a ...

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 ...

While I am running the custom object detection model using ultralyics_yolo. My application is got crashing when it is going to detect the first object. These are the logs while running: ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Please check out our new release on YOLOE. YOLOE code: https://github.com/THU-MIG/yoloe YOLOE paper: https://arxiv.org/abs/2503.07465 Comparison of performance ...