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 …

目标检测是光学遥感图像解译中的核心问题, 在情报侦察, 目标监视, 灾害救援等领域均具有广泛
应用. 首先, 结合深度学习光学遥感图像目标检测算法研究进展, 对基于候选区域和回归分析的两 …

Forest fires are a huge ecological hazard, and smoke is an early characteristic of forest fires.
Smoke is present only in a tiny region in images that are captured in the early stages of …

目标检测技术是光学遥感图像理解的基础问题, 具有重要的应用价值. 本文对遥感图像目标检测
算法发展进行了梳理和分析. 首先阐述了遥感图像目标检测的特点和挑战; …

Feature pyramid networks are widely applied in remote sensing images for object detection
to deal with the challenge of large scale variation in objects. However, the feature pyramid …

Arbitrary-oriented objects exist widely in remote sensing images. The mainstream rotation
detectors use oriented bounding boxes (OBBs) or quadrilateral bounding boxes (QBBs) to …

Arbitrary-oriented object detection has been a building block for rotation sensitive tasks. We
first show that the boundary problem suffered in existing dominant regression-based rotation …

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 …

Despite significant progress in object detection tasks, remote sensing image target detection
is still challenging owing to complex backgrounds, large differences in target sizes, and …