Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the
existing UAV-based object detection systems are subject to the serious challenge, namely …

Unmanned aerial vehicles (UAVs) often need to capture and transmit videos to accomplish
intelligent tasks. Minimizing the channel pressure from video transmission while ensuring …

Unmanned aerial vehicles (UAVs) have gained significant attention in practical applications,
especially the low-altitude aerial (LAA) object detection imposes stringent requirements on …

Emergency response missions depend on the fast relay of visual information, a task to which
unmanned aerial vehicles are well adapted. However, the effective use of unmanned aerial …

UAV-based object detection aims at locating and recognizing targets in aerial images, which
is widely applied to traffic surveillance, disaster rescue and anomaly monitoring. However …

Unmanned aerial vehicles (UAVs) endowed with the function of computer vision are widely
applied. There is an urgent need to implement real-time object detection. However, the …

Optimizing the structure of deep neural networks is essential in many applications.
Especially in the object detection tasks of Unmanned Aerial Vehicles. Due to the constraints …

With the rapid development of the unmanned aerial vehicle (UAV) industry, UAV image
object detection technology has become a hotspot. However, due to a large number of …

UAV vehicle detection based on convolutional neural network exits a key problem of
information imbalance of different feature layers. Shallow features have spatial information …

Optimizing the structure of deep neural networks is essential in many applications.
Especially in the object detection tasks of Unmanned Aerial Vehicles (UAVs). Due to the …