The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

Object detection in drone-captured images is a popular task in recent years. As drones
always navigate at different altitudes, the object scale varies considerably, which burdens …

Although the orientation and scale properties of the objects in remote sensing images have
been widely considered in the modern deep learning-based object detection methods, the …

Object detection is an important process in surveillance system to locate objects and it is
considered as major application in computer vision. The Convolution Neural Network (CNN) …

Object detection is a fundamental part of the interpretation of remote sensing imagery. The
one-stage object detector has been adopted into this field because of its high computational …

Object detection in aerial images is a challenging task for two main reasons: small object
and scale variation. Existing methods utilize multilevel features to solve the scale variation …

The task of instance segmentation in remote sensing images, aiming at performing per-pixel
labeling of objects at the instance level, is of great importance for various civil applications …

Remote sensing scene understanding is crucial for extracting valuable information from high-
resolution images, including object detection and classification. Traditional object detection …

The specific characteristics of remote sensing images, such as large directional variations,
large target sizes, and dense target distributions, make target detection a challenging task …