Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

Unmanned aerial vehicles (UAVs) have been applied to inspect in various scenarios due to
their high efficiency, low cost, and excellent mobility. However, the objects in aerial images …

Vehicle object detection in aerial scenes has important applications in both military and
civilian fields. Recently, deep learning has shown clear advantages in object detection, and …

Vehicle detection based on unmanned aerial vehicle (UAV) aerial images plays a significant
role in areas such as traffic monitoring and management, disaster relief, and more …

Remote sensing-based target detection process is applied to spot the targeted objects in
remote sensing images (RSIs). However, it is challenging to detect small-sized vehicles in …

The Aedes aegypti mosquito transmits several diseases, including dengue, zika, and
chikungunya. To prevent these diseases, identifying and removing mosquito breeding sites …

Identifying the type of vehicle on the road is a challenging task, especially in the natural
environment with all its complexities, such that the traditional architecture for object detection …

This article introduces a novel model for low-quality pedestrian trajectory prediction, the
social nonstationary transformers (NSTransformers), that merges the strengths of …

Drone-based object detection in adverse weather conditions is crucial for enhancing drones'
environmental perception, yet it remains largely unexplored due to the lack of relevant …

The multiscale problem is one of the challenging topics in the object detection field. Among
the current studies toward this problem, feature pyramid network (FPN) has been shown a …