Detecting objects in foggy scenes remains a persistent challenge, as detectors trained for fair weather often struggle with foggy data due to blurring effects. Previous methods based on domain ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

I am processing the data for a large-scale PacBio human WGS sequencing project, and I encounter errors after migration to DV v1.9. I did not have these errors with v1.6.1 (I did not use v1.8). These ...

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 ...

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 ...

It’s possible the trans-Neptunian object, dubbed 2017 OF201, is large enough to qualify as a dwarf planet, making it an “extreme ‘cousin’ of Pluto,” according to Institute for Advanced Study postdoc ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...