Road object detection is pivotal in autonomous vehicles, traffic management, and safety. Traditional methods have limitations in complex real-world road scenarios. Deep learning, with its capacity to ...

The primary objective of this study is to develop a unified, end-to-end deep learning framework for UAV-based vehicle perception that integrates multiple neural models to perform image enhancement, ...

Existing active learning methods for object detection face challenges, such as the lack of ground truth labels for regression loss, insufficient representation of unlabeled instance samples ...

Results Cell tracking using image registration and ‘overlap-based’ matching Tracking neuronal activity across multiple days presents unique challenges due to the dynamic nature of brain development.

Methods for tracking the activity of large populations of cells across days have been successfully developed and deployed in the adult brain 13 – 16. In adult circuits, cell tracking is indeed ...