The sightings sparked mass hysteria and concerns over the existence of UFOs after footage went viral of unidentified objects ...

Say a person takes their French Bulldog, Bowser, to the dog park. Identifying Bowser as he plays among the other canines is ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of ...

Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...

The experimental objects and the conditions of the grasping task. Researchers at HSE University have developed a new methodological approach to studying motor planning and execution. By using ...

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: The distribution of sediment grain size in streams and rivers is often quantified by the median grain size (D50), a key metric for understanding and predicting hydrologic and ...

Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges such as false alarm interference. However, conventional object detection ...