Therefore, this research introduces a neural network-centered process especially fitted for analyzing aerial vehicles (Mohammed et al., 2025). Detection, tracking, counting, trajectory prediction, and ...

Few-shot object detection (FSOD) addresses the challenge of limited labeled data by enabling detectors to learn from minimal annotations. Recent work on image–text fusion has shown promise in ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Salient object detection (SOD) is usually taken as a key procedure on the preprocessing of remote sensing images (RSIs), in which RSI-SOD techniques are employed to accurately locate the most ...