With the rapid development of object detection, it is widely used in many scenes and
images. However, the dense arrangement of objects with different dimensions, orientations …

The detection and recognition of oriented objects in remote sensing images is a challenging
task due to their complex backgrounds, various sizes, diverse aspect ratios, and especially …

Recently, anchor-free object detectors have shown promising performance in oriented
object detection on remote sensing images. However, the objects in remote sensing images …

Object detection plays an important role in the field of remote sensing imagery analysis. The
most challenging issues in advancing this task are the large variation in object scales and …

Oriented object detection in remote sensing images is an active yet challenging task. State-
of-the-art detectors adopt oriented bounding box as a basic representation of an object. The …

Object detection is a challenging task in the field of remote sensing applications due to the
complex backgrounds and uncertain orientation of targets. Compared with the horizontal …

Orientated object detection in aerial images is still a challenging task due to the bird's eye
view and the various scales and arbitrary angles of objects in aerial images. Most current …

Object detection in aerial images is important for a wide range of applications. The most
challenging dilemma in this task is the arbitrary orientation of objects, and many deep …

Detecting objects in aerial images is a long-standing and challenging problem since the
objects in aerial images vary dramatically in size and orientation. Most existing neural …

Objects in aerial images usually have arbitrary orientations and are densely located over the
ground, making them extremely challenge to be detected. Many of the recent developed …