A research team developed a drone-based, semi-supervised learning pipeline that detects both maize seedlings and missing plants at early growth ...

Their dataset features high-density traffic, fast camera motion, and small object scale characteristics that mirror the real-world complexities tackled in our experiments using the AU-AIR and ...

Remote sensing object detection (RSOD) is crucial for various monitoring and measurement applications due to its noncontact, large-scale, and real-time observation, such as autonomous driving, scene ...

In foggy driving environments, the precision of object detection by autonomous driving systems is significantly diminished compared to clear weather conditions. To date, there is an abundance of work ...