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 …

With the increasing availability of aerial data, object detection in aerial images has aroused
more and more attention in remote sensing community. The difficulty lies in accurately …

Although existing anchor-based oriented object detection methods have achieved
remarkable results, they require manual preset boxes, which introduce additional hyper …

Ship detection in marine remote sensing images (RSI) is an area of growing interest with a
wide range of potential applications. However, current ship detection methods often suffer …

Characterized by complicated backgrounds, various types, large size variations, and
arbitrary orientations, the detection and recognition of arbitrary-oriented objects in remote …

Compared with general object detection with horizontal bounding boxes in natural images,
oriented object detection in remote sensing images is an active and challenging research …

Arbitrarily oriented object detection is one of the most-popular research fields in remote
sensing image processing. In this paper, we propose an approach to predict object angles …

With the introduction of artificial-intelligence technologies such as deep learning into the
field of optical remote-sensing detection, various algorithms have emerged. The use of these …

近年来, 随着深度学习等人工智能技术在光学遥感目标检测领域中的快速发展,
大量相关研究算法不断涌现, 逐渐形成了一种基于数据驱动的光学遥感图像目标检测新范式 …

Ship targets in ORSIs (Optical Remote Sensing Images) have the characteristics of various
scales, and most of them are medium and small-scale targets. When the existing target …