论文标题
相移编码器：预测定向对象检测的准确方向
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
论文作者
论文摘要
随着计算机视觉的剧烈发展，面向的对象检测已逐渐被特征。在本文中，提出了一个名为相移编码器（PSC）的新型可区分的角度编码器，以准确预测对象的方向以及双频版本（PSCD）。通过将不同循环的旋转周期性映射到不同频率的阶段，我们为各种周期性模糊问题提供了一个统一的框架，这是由方向对象检测中的旋转对称性引起的。在这样的框架下，以统一的形式优雅地解决了定向对象检测（例如边界不连续性和类似方形的问题）中的常见问题。在三个数据集上进行的视觉分析和实验证明了我们方法的有效性和潜力。当面对需要高质量边界框的方案时，建议的方法将提供竞争性能。这些代码可在https://github.com/open-mmlab/mmrotate上公开获得。
With the vigorous development of computer vision, oriented object detection has gradually been featured. In this paper, a novel differentiable angle coder named phase-shifting coder (PSC) is proposed to accurately predict the orientation of objects, along with a dual-frequency version (PSCD). By mapping the rotational periodicity of different cycles into the phase of different frequencies, we provide a unified framework for various periodic fuzzy problems caused by rotational symmetry in oriented object detection. Upon such a framework, common problems in oriented object detection such as boundary discontinuity and square-like problems are elegantly solved in a unified form. Visual analysis and experiments on three datasets prove the effectiveness and the potentiality of our approach. When facing scenarios requiring high-quality bounding boxes, the proposed methods are expected to give a competitive performance. The codes are publicly available at https://github.com/open-mmlab/mmrotate.
