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.
翻译:随着计算机视野的大力发展,定向物体探测逐渐成为了主题。在本文件中,提议建立一个名为分阶段转换编码器(PSC)的新颖不同角度编码器,以准确预测物体方向,同时配有双频版本(PSCD),绘制不同周期周期的周期图,进入不同频率阶段,为在定向物体探测中旋转对称造成的各种周期性模糊问题提供一个统一框架。在这样一个框架内,定位物体探测中的共同问题,如边界不连续和平方形问题,以统一的形式得到优雅的解决。三个数据集的视觉分析和实验证明了我们的方法的有效性和潜力。在遇到需要高质量捆绑框的情况时,建议的方法可望产生竞争性的性能。这些代码可在https://github.com/open-mmlab/mmrotate上公开查阅。</s>