Abstract Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent
years, with a wide range of applications in areas such as surveying, delivery, and security …

At present, deep learning has been widely used in SAR ship target detection, but the
accurate and real-time detection of multi-scale targets still faces tough challenges. CNN …

Issues, such as insufficient feature representation and background confusion, make
detection tasks for small object in remote sensing arduous. Particularly, when the algorithm …

Numerous improvements in feedback mechanisms have contributed to the great progress in
object detection. In this paper, we first present an evaluation-feedback module, which …

Due to the special characteristics of the shooting distance and angle of remote sensing
satellites, the pixel area of ship targets is small, and the feature expression is insufficient …

Ship detection aims to automatically identify whether there are ships in the images, precisely
classifies and localizes them. Regardless of whether utilizing early manually designed …

In recent years, object detection based on deep learning has been widely applied and
developed. When using object detection methods to process remote sensing images, the …

Instance-level ship recognition (ISR) has important applications in civil and military fields
such as target acquisition, maritime surveillance, and ship situational awareness. Due to the …

For the textile industry, fabric defect detection is an important part of production. In order to
make the automatic fabric defect detection system used in production sites, this article …

Unlike the natural scenes, aerial objects are often in arbitrary orientations and surrounded
by cluttered backgrounds, causing the heterogeneous object features contaminated with …