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 …

Boundary discontinuity and its inconsistency to the final detection metric have been the
bottleneck for rotating detection regression loss design. In this paper, we propose a novel …

Rotation detection serves as a fundamental building block in many visual applications
involving aerial image, scene text, and face etc. Differing from the dominant regression …

Rotation detection is a challenging task due to the difficulties of locating the multi-angle
objects and separating them effectively from the background. Though considerable progress …

Arbitrary-oriented object detection has recently attracted increasing attention in vision for
their importance in aerial imagery, scene text, and face etc. In this paper, we show that …

Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild
with arbitrary orientations and cluttered arrangements. Existing approaches are mainly …

Detecting oriented and densely packed objects remains challenging for spatial feature
aliasing caused by the intersection of reception fields between objects. In this paper, we …

Small and cluttered objects are common in real-world which are challenging for detection.
The difficulty is further pronounced when the objects are rotated, as traditional detectors …

Recently, many arbitrary-oriented object detection (AOOD) methods have been proposed
and attracted widespread attention in many fields. However, most of them are based on …

Object detection (OD) is an important task of computer vision and has been widely used in
many fields, including remote sensing (RS). However, the complex scenes, large-scale …