Recently, object detection in aerial images has gained much attention in computer vision.
Different from objects in natural images, aerial objects are often distributed with arbitrary …

In contrast to the generic object, aerial targets are often non-axis aligned with arbitrary
orientations having the cluttered surroundings. Unlike the mainstreamed approaches …

Object detection in aerial images is a challenging task due to the lack of visible features and
variant orientation of objects. Significant progress has been made recently for predicting …

Object detection in aerial images is an active yet challenging task in computer vision
because of the birdview perspective, the highly complex backgrounds, and the variant …

Object detection in aerial images is an active yet challenging task in computer vision
because of the bird's-eye view perspective, the highly complex backgrounds, and the variant …

Oriented object detection in aerial images is a challenging task as the objects in aerial
images are displayed in arbitrary directions and are usually densely packed. Current …

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 …

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 …

Fast and precise object detection for hgigh-resolution aerial images has been a challenging
task over the years. Due to the sharp variations in object scale, rotation, and aspect ratio …

Object detection has been a building block in computer vision. Though considerable
progress has been made, there still exist challenges for objects with small size, arbitrary …